When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training | Paper Citation Record

Observation 99d373a0-027a-4394-ae6a-175c35fd8fe5 · outbound

This paper cites Fake it till you make it: Learning transferable representa- tions from synthetic imagenet clones.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Fake it till you make it: Learning transferable representa- tions from synthetic imagenet clones

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Observation 3a93f91c-71da-4125-8c3d-22af5036b321 · outbound

This paper cites Deep residual learning for image recognition.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Deep residual learning for image recognition

Reference 2

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Observation 4e8adba3-d40f-4536-b1f4-68f50d2b41f2 · outbound

This paper cites What chatgpt and generative ai mean for science.Nature, 614(7947):214–216, 2023.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training What chatgpt and generative ai mean for science.Nature, 614(7947):214–216, 2023

Reference 3

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When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Unresolved cited work

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Observation 11ec654e-58a8-4f1a-96b2-6c17c071f9bd · outbound

This paper cites Real- fake: Effective training data synthesis through distribution matching.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Real- fake: Effective training data synthesis through distribution matching

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Observation 262148d1-7a21-49cb-b637-3f38cbe693b5 · outbound

This paper cites Is synthetic data all we need? benchmarking the robustness of models trained with synthetic images.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Is synthetic data all we need? benchmarking the robustness of models trained with synthetic images

Reference 6

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Observation 220ebb28-21ff-4f4b-a27f-1f66560f5e94 · outbound

This paper cites Scaling laws of synthetic images for model training.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Scaling laws of synthetic images for model training

Reference 7

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Observation bc782a61-4145-443d-9eeb-aa5dba19a8fe · outbound

This paper cites High-resolution image synthesis with latent diffu- sion models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training High-resolution image synthesis with latent diffu- sion models

Reference 8

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Observation 62da9937-8304-4edc-ae01-c1c68a9a23e5 · outbound

This paper cites Flux.1 kontext: Flow matching for in-context image generation and editing in latent space, 2025.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Flux.1 kontext: Flow matching for in-context image generation and editing in latent space, 2025

Reference 9

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Observation 9cf28029-ba88-4672-a388-f9480596cb26 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 10

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Observation 8652b818-8eff-4210-bc1c-b0721af0a717 · outbound

This paper cites an unresolved cited work.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Unresolved cited work

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Observation afc40952-4dfd-4f35-ae5e-1dcbe41a00f4 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 12

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Observation bbb9bcc4-9b7b-4ea1-91b2-65c710a73a34 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Cosmos World Foundation Model Platform for Physical AI

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Observation 858d766d-dea2-4c80-a352-1953e1965e89 · outbound

This paper cites Does training with synthetic data truly protect privacy? InThe Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Does training with synthetic data truly protect privacy? InThe Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025

Reference 14

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Observation 1c327ff9-c6e4-4461-8fc7-2c431062660c · outbound

This paper cites Membership inference attacks against machine learning models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Membership inference attacks against machine learning models

Reference 15

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Observation 166e684c-9581-4b88-9b72-dc31431c97e1 · outbound

This paper cites Membership inference attacks from first principles.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Membership inference attacks from first principles

Reference 16

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Observation 0d220795-0f12-4d9c-800b-ebd650b7d297 · outbound

This paper cites Comprehensive privacy analysis of deep learning: Passive and active white-box infer- ence attacks against centralized and federated learning.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Comprehensive privacy analysis of deep learning: Passive and active white-box infer- ence attacks against centralized and federated learning

Reference 17

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Observation 5e8a0dc7-25ad-4586-8d59-c278c92a07b2 · outbound

This paper cites Privacy risk in machine learning: Analyzing the connection to over- fitting.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Privacy risk in machine learning: Analyzing the connection to over- fitting

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Observation f8926530-87ba-4962-9c42-024804a1c835 · outbound

This paper cites Membership inference attacks as privacy tools: Reliability, disparity and ensemble.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Membership inference attacks as privacy tools: Reliability, disparity and ensemble

Reference 19

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Observation 5d87156c-1201-4f0e-92e9-445fd0237e5c · outbound

This paper cites Gan-leaks: A taxonomy of membership inference attacks against generative models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Gan-leaks: A taxonomy of membership inference attacks against generative models

Reference 20

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Observation 610587c9-66f2-44ab-8ed2-6b52dd37e613 · outbound

This paper cites Enhanced label-only membership inference attacks with fewer queries.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Enhanced label-only membership inference attacks with fewer queries

Reference 21

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Observation f0839358-9972-40fc-98ce-154af4090878 · outbound

This paper cites A method to facilitate member- ship inference attacks in deep learning models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training A method to facilitate member- ship inference attacks in deep learning models

Reference 22

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Observation 649b0bcd-543f-4ed1-93dc-e72723c7e447 · outbound

This paper cites Reconciling privacy and accuracy in ai for medical imaging.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Reconciling privacy and accuracy in ai for medical imaging

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Observation 77de4dff-afc3-4c11-8b93-ab67b959ad66 · outbound

This paper cites Watermarking makes language models radioactive.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Watermarking makes language models radioactive

Reference 24

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Observation ff76adc2-1d75-47a0-94f8-50f994c5b034 · outbound

This paper cites Any-resolution ai-generated image detection by spectral learning.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Any-resolution ai-generated image detection by spectral learning

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Observation 54d721ca-2de7-4293-bfc7-45f426d05219 · outbound

This paper cites Towards universal fake image detectors that generalize across generative models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Towards universal fake image detectors that generalize across generative models

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Observation 230631d5-c14e-456f-bb87-b68e37273d3b · outbound

This paper cites Membership inference attacks and de- fenses in neural network pruning.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Membership inference attacks and de- fenses in neural network pruning

Reference 27

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Observation 5dc662ac-3c89-4fd2-8f71-7d4fb6310091 · outbound

This paper cites Privacy risks of securing machine learning models against adversarial examples.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Privacy risks of securing machine learning models against adversarial examples

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Observation d93252a0-f08e-4040-bb58-0ea447c33957 · outbound

This paper cites Low-cost high-power membership inference attacks.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Low-cost high-power membership inference attacks

Reference 29

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Observation 76840450-add2-4acd-9ca0-018c520b5cf7 · outbound

This paper cites SDXL: Improving latent diffusion models for high-resolution image synthesis.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training SDXL: Improving latent diffusion models for high-resolution image synthesis

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Observation eb138729-f786-41d7-9fc4-44cceb58027c · outbound

This paper cites Scalable diffusion models with transformers.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Scalable diffusion models with transformers

Reference 31

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Observation 9daf66e1-278c-49e1-beb1-3241e026d38b · outbound

This paper cites SANA: Efficient high-resolution text-to-image synthesis with linear diffusion transformers.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training SANA: Efficient high-resolution text-to-image synthesis with linear diffusion transformers

Reference 32

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Observation 8af0fc2b-c3a5-47f8-8796-41953c19c7ad · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training LoRA: Low-rank adaptation of large language models

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Observation 79938c94-2d4b-43cb-9ebd-102ea9c61730 · outbound

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When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Unresolved cited work

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Observation 538c64ae-6e50-4f34-aae3-ee090169943f · outbound

This paper cites Lens: Localization enhanced by nerf synthesis.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Lens: Localization enhanced by nerf synthesis

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Observation dfb250b2-97da-4996-8d36-eba295542adf · outbound

This paper cites Nerf-supervision: Learning dense object descriptors from neural radiance fields.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Nerf-supervision: Learning dense object descriptors from neural radiance fields

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Observation 75244365-84fd-477e-93f3-64442891dd90 · outbound

This paper cites Augmented reality meets computer vision: Efficient data generation for urban driving scenes.International Journal of Computer Vision, 126(9):961–972, 2018.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Augmented reality meets computer vision: Efficient data generation for urban driving scenes.International Journal of Computer Vision, 126(9):961–972, 2018

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Observation 8d12a0cf-4383-4c28-a679-9b57f8f0f730 · outbound

This paper cites Learning deep object detectors from 3d models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Learning deep object detectors from 3d models

Reference 38

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Observation 68a086b0-8104-4310-83f5-9a33a912fc6f · outbound

This paper cites Dataset Distillation.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Dataset Distillation

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Observation 5243d175-9062-4143-b9c6-a2500afb055d · outbound

This paper cites Dataset condensa- tion with gradient matching.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Dataset condensa- tion with gradient matching

Reference 40

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Observation f05a058c-8d81-457c-9da3-ddd6fae43d9c · outbound

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When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Dataset distillation by matching training trajectories

Reference 41

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Observation 2cc151a1-ab95-4f76-b567-81163437d0ae · outbound

This paper cites Privacy for free: How does dataset condensation help privacy? InInternational Conference on Machine Learning, pages 5378–5396.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Privacy for free: How does dataset condensation help privacy? InInternational Conference on Machine Learning, pages 5378–5396

Reference 42

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Observation a04fc794-f577-4115-b29f-660610762687 · outbound

This paper cites No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy".

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy"

Reference 43

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Observation ce9eb20e-0375-41e7-9cdd-9faf0bee123f · outbound

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When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Backdoor attacks against dataset distillation

Reference 44

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Observation d67e36e2-6919-4370-8eab-56c9508af2f7 · outbound

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When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Unresolved cited work

Reference 45

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Observation 21c26ff2-6014-46f5-aa8f-7a6bb073d409 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

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Observation 1df9673d-890a-4928-9f9f-01637cd79a34 · outbound

This paper cites Membership inference attacks and defenses in classification models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Membership inference attacks and defenses in classification models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:34.020785Z

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Observation 4c0e020f-c0cf-4e54-bb2e-ad9c21737690 · outbound

This paper cites Rigging the foundation: Manipulating pre-training for advanced membership inference attacks.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Rigging the foundation: Manipulating pre-training for advanced membership inference attacks

Reference 48

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Observation 0d585179-20af-4a41-a30b-d6470e95486b · outbound

This paper cites Enhanced membership inference attacks against machine learning models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Enhanced membership inference attacks against machine learning models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:34.158699Z

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Observation b511950a-b20e-4bee-97c2-8497c72e9708 · outbound

This paper cites Armanuzzaman, and Ziming Zhao.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Armanuzzaman, and Ziming Zhao

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:34.206621Z

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Observation 8a96f31b-19d4-4ea9-903a-c80d24f43e54 · outbound

This paper cites Practical blind membership inference attack via differential comparisons.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Practical blind membership inference attack via differential comparisons

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:34.250739Z

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Observation 55577ac1-b42b-4e40-a844-7397408c1008 · outbound

This paper cites SOFT: selective data obfuscation for protecting LLM fine-tuning against membership inference attacks.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training SOFT: selective data obfuscation for protecting LLM fine-tuning against membership inference attacks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:34.334354Z

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Observation 28a919c1-2c6c-4c03-bacc-cfd32820dca1 · outbound

This paper cites Querycheetah: Fast automated discovery of attribute inference attacks against query-based systems.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Querycheetah: Fast automated discovery of attribute inference attacks against query-based systems

Reference 53

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Observation c0bd0adc-9240-4db8-b69b-cf1b9b996b59 · outbound

This paper cites SLMIA-SR: speaker-level membership inference attacks against speaker recognition systems.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training SLMIA-SR: speaker-level membership inference attacks against speaker recognition systems

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:34.467672Z

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Observation 8aaf7bc9-a0a5-48c7-b050-646d4bf3af59 · outbound

This paper cites Imitative membership inference attack.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Imitative membership inference attack

Reference 55

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Observation e11fd00b-ec98-4680-a754-ad36142a21a9 · outbound

This paper cites Cascading and proxy membership inference attacks.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Cascading and proxy membership inference attacks

Reference 56

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Observation 14e416e0-c0b1-48a9-a42c-5b7efe11b7ab · outbound

This paper cites Please tell me more: Privacy impact of explainability through the lens of membership inference attack.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Please tell me more: Privacy impact of explainability through the lens of membership inference attack

Reference 57

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Observation f16d490c-1a16-49ac-a353-45c443c8a1b4 · outbound

This paper cites A unified membership inference method for visual self-supervised encoder via part-aware capability.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training A unified membership inference method for visual self-supervised encoder via part-aware capability

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:34.798852Z

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Observation 82b32d39-870b-462d-be19-5818973f4f64 · outbound

This paper cites Encodermi: Membership inference against pre-trained encoders in con- trastive learning.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Encodermi: Membership inference against pre-trained encoders in con- trastive learning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:34.885064Z

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Observation d84813e8-534f-4c6f-b1fb-2073a422cc45 · outbound

This paper cites When machine unlearning jeopardizes privacy.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training When machine unlearning jeopardizes privacy

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:34.973849Z

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Observation 41fd2fc9-f98d-42bd-ad99-58e1ecb2ad3c · outbound

This paper cites Compleak: Deep learning model compression exacerbates privacy leakage.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Compleak: Deep learning model compression exacerbates privacy leakage

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:35.060536Z

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Observation 46c1e18b-d8d0-4fcd-85d3-a3caa1b238ba · outbound

This paper cites Riddle me this! stealthy membership inference for retrieval-augmented generation.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Riddle me this! stealthy membership inference for retrieval-augmented generation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:35.144991Z

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Observation 2eace009-6602-4129-a067-8c94a5392d86 · outbound

This paper cites InProceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, CCS 2025, Taipei, Taiwan, October 13-17, 2025, pages 4184–4198.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training InProceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, CCS 2025, Taipei, Taiwan, October 13-17, 2025, pages 4184–4198

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:35.222447Z

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Observation 10870001-1ebc-48ab-9602-e1fde4a940b7 · outbound

This paper cites Membership inference attacks against vision-language models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Membership inference attacks against vision-language models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:35.293049Z

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Observation 5bab84ce-04cf-4b5c-a690-c62b59c47b98 · outbound

This paper cites Did the neurons read your book? document-level membership inference for large language models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Did the neurons read your book? document-level membership inference for large language models

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:35.377700Z

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Observation a656117e-0f3e-4875-9229-c803cd043a1d · outbound

This paper cites Membership inference attacks against in-context learning.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Membership inference attacks against in-context learning

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:35.439176Z

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Observation 36ce452c-8f1d-4c82-a412-d2d32c139464 · outbound

This paper cites Towards label-only membership inference attack against pre-trained large language models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Towards label-only membership inference attack against pre-trained large language models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:35.501004Z

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Observation 06f4d320-72f1-4bcf-b5b9-22d347ae70fa · outbound

This paper cites Membership inference attacks on tokenizers of large language models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Membership inference attacks on tokenizers of large language models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:35.560562Z

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Observation 7fa14882-134a-4f8f-a7ec-c0b3ac5361a8 · outbound

This paper cites Window-based membership inference attacks against fine-tuned large language models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Window-based membership inference attacks against fine-tuned large language models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:35.595794Z

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Unavailable: canonical work link unavailable.

Observation 2befd7dc-9990-4da1-9b81-4deb60e52c12 · outbound

This paper cites Vidleaks: Membership inference attacks against text-to-video models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Vidleaks: Membership inference attacks against text-to-video models

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:35.660057Z

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Observation c8010beb-2dbf-4773-bcf0-967ded80fddb · outbound

This paper cites Diffence: Fencing membership privacy with diffusion models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Diffence: Fencing membership privacy with diffusion models

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:35.729855Z

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Observation a0575827-1f8f-40b2-937a-9d5d308a7813 · outbound

This paper cites Black-box membership inference attacks against fine-tuned diffusion models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Black-box membership inference attacks against fine-tuned diffusion models

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:35.814269Z

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Observation 9deac9f4-5442-4f94-93b1-e0f1ee488827 · outbound

This paper cites Inference attacks against graph generative diffusion models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Inference attacks against graph generative diffusion models

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:35.897021Z

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Observation cb58fb81-368e-4936-88c4-da41464fdac8 · outbound

This paper cites Visualizing data using t-sne.Journal of machine learning research, 9(11), 2008.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Visualizing data using t-sne.Journal of machine learning research, 9(11), 2008

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:35.964714Z

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Observation c1ea287c-e76e-43ba-bdcb-8112890afc30 · outbound

This paper cites Does learning require memorization? a short tale about a long tail.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Does learning require memorization? a short tale about a long tail

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:36.039818Z

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Observation 12927411-a085-4ff5-a654-a76567d0ef36 · outbound

This paper cites What neural networks memorize and why: Discovering the long tail via influence estimation.Advances in Neural Information Processing Systems, 33:2881–2891, 2020.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training What neural networks memorize and why: Discovering the long tail via influence estimation.Advances in Neural Information Processing Systems, 33:2881–2891, 2020

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:36.108192Z

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Observation e23e7b1e-9e4c-461c-bce8-6a28e99b8f80 · outbound

This paper cites A closer look at memorization in deep networks.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training A closer look at memorization in deep networks

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:36.198843Z

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Observation 48c1ea80-cece-4b92-ab18-e02a9cbac311 · outbound

This paper cites Memorization through the lens of curvature of loss function around samples.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Memorization through the lens of curvature of loss function around samples

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:36.295812Z

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Observation 9c03f369-1746-4900-8f1f-31d7f06da97c · outbound

This paper cites Seqmia: Sequential-metric based membership inference attack.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Seqmia: Sequential-metric based membership inference attack

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:36.377594Z

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Observation aaa4ba28-8389-4288-b8d0-7270367a33a6 · outbound

This paper cites Is difficulty calibration all we need? towards more practical membership inference attacks.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Is difficulty calibration all we need? towards more practical membership inference attacks

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:36.489467Z

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Observation a959c678-ba50-4c0d-81ca-5cae3b5939a8 · outbound

This paper cites Mem- bership inference attacks by exploiting loss trajectory.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Mem- bership inference attacks by exploiting loss trajectory

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:36.587003Z

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Observation 0bd5402d-7df3-4a36-8e81-de6c8a46d57b · outbound

This paper cites Watch out! simple horizontal class backdoor can trivially evade de- fense.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Watch out! simple horizontal class backdoor can trivially evade de- fense

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:36.674933Z

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Observation 4f0faab7-52fd-4372-8d85-38dcf969fed2 · outbound

This paper cites Yes,{One- Bit-Flip}matters! universal{DNN}model inference depletion with runtime code fault injection.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Yes,{One- Bit-Flip}matters! universal{DNN}model inference depletion with runtime code fault injection

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:36.743685Z

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Observation cf12ab68-3923-439d-9cc1-6a197fb5a601 · outbound

This paper cites an unresolved cited work.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:36.799997Z

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Observation df3ea377-234b-45ea-b9dc-d3cda6ad1ef1 · outbound

This paper cites Patternnet: A benchmark dataset for performance evaluation of remote sensing image retrieval.ISPRS Journal of Photogrammetry and Remote Sensing, 145:197–209, 2018.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Patternnet: A benchmark dataset for performance evaluation of remote sensing image retrieval.ISPRS Journal of Photogrammetry and Remote Sensing, 145:197–209, 2018

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:36.864047Z

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Observation ae89051e-486f-420a-a77a-ddb9a55e4596 · outbound

This paper cites Vggface2: A dataset for recognising faces across pose and age.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Vggface2: A dataset for recognising faces across pose and age

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:36.932553Z

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Observation 902ef83b-204b-4ace-88dd-7ad318296d66 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Imagenet: A large-scale hierarchical image database

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:37.001714Z

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Observation 1f1e036b-fb4a-4bc4-bc99-ebf1e4d02370 · outbound

This paper cites Contrastive multiview coding.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Contrastive multiview coding

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:37.083926Z

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Observation 7c3ddd47-1bb4-4035-9dbd-453d63f8abc7 · outbound

This paper cites an unresolved cited work.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:37.140517Z

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Observation a9e5edbc-e1fb-4020-8a58-dddeebb1dbb0 · outbound

This paper cites Black-box membership inference attacks against fine-tuned diffusion models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Black-box membership inference attacks against fine-tuned diffusion models

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:37.199852Z

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Observation 9cc54f15-b1bd-4477-b772-815f75e9849e · outbound

This paper cites Towards reliable verification of unauthorized data usage in personalized text-to-image diffusion models.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Towards reliable verification of unauthorized data usage in personalized text-to-image diffusion models

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:37.245673Z

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Observation 1c32bc56-8f31-4a91-b10b-11e8cc3d98ae · outbound

This paper cites Pretender: Universal active defense against diffusion finetuning attacks.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Pretender: Universal active defense against diffusion finetuning attacks

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:37.325687Z

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Observation 184ead63-cf96-43eb-ade7-6c32a2c9ae52 · outbound

This paper cites Genomic privacy and limits of individual detection in a pool.Nature Genetics, 41(9):965–967, 2009.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Genomic privacy and limits of individual detection in a pool.Nature Genetics, 41(9):965–967, 2009

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:37.381304Z

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Observation 90474e19-59dd-4dcd-b9da-f5cd8d4e4934 · outbound

This paper cites Prototypical networks for few-shot learning.Advances in Neural Information Processing Systems, 30, 2017.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Prototypical networks for few-shot learning.Advances in Neural Information Processing Systems, 30, 2017

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:37.436071Z

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Observation 4a644696-7cae-40e6-b537-3be9e130e6b6 · outbound

This paper cites Prevalence of neural collapse during the terminal phase of deep learning training.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Prevalence of neural collapse during the terminal phase of deep learning training

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:37.487084Z

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Observation 93ba1e1f-583d-446a-9dfa-05cf5aa8dd12 · outbound

This paper cites Neural collapse under mse loss: Proximity to and dynamics on the central path.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Neural collapse under mse loss: Proximity to and dynamics on the central path

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:37.503675Z

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Observation d57c3f81-597d-44d0-999d-b8c316f19d36 · outbound

This paper cites Distance-based image classification: Generalizing to new classes at near-zero cost.IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(11):2624–2637, 2013.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Distance-based image classification: Generalizing to new classes at near-zero cost.IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(11):2624–2637, 2013

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:37.525212Z

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Observation 55faa7c3-c3f2-42e8-b831-4a451c1f1591 · outbound

This paper cites Cambridge University Press, 2018.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Cambridge University Press, 2018

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:37.587542Z

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Observation eeec5a0c-a397-4942-9545-ef4889d8f1d5 · outbound

This paper cites Calibrating noise to sensitivity in private data analysis.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Calibrating noise to sensitivity in private data analysis

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Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:37.697398Z

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Observation fedb3970-4ec8-4ea4-85ce-058345607283 · outbound

This paper cites Deep learning with differential privacy.

When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training Deep learning with differential privacy

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