Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation | Paper Citation Record

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This paper cites A.�� (John Wiley & Sons, 2013).

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation A.�� (John Wiley & Sons, 2013)

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This paper cites URL https://doi.org/10.1038/s41562-023-01775-7.

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation URL https://doi.org/10.1038/s41562-023-01775-7

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation & Sinha, P.�� HBR Insights Series (Har- vard Business Review Press, 2024)

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation & Machery, E

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This paper cites Will ai write scientific papers in the future?�� , 3–15 (2022).

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Will ai write scientific papers in the future?�� , 3–15 (2022)

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Nobel turing challenge: creating the engine for scientific discovery

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This paper cites The Impact of Large Language Models in Academia: from Writing to Speaking.

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation The Impact of Large Language Models in Academia: from Writing to Speaking

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This paper cites URL https://arxiv.org/abs/2510.10472.

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation URL https://arxiv.org/abs/2510.10472

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This paper cites Generating Synthetic X-ray Images of a Person from the Surface Geometry.

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Generating Synthetic X-ray Images of a Person from the Surface Geometry

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation High-Resolution Image Synthesis with Latent Diffusion Models

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation & Kundargi, S

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation A.�� Medical large language models are vulnerable to data- poisoning attacks.�� , 618–626 (2025)

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This paper cites Measuring trustworthiness is crucial for medical ai tools.�� , 1812–1813 (2023).

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Measuring trustworthiness is crucial for medical ai tools.�� , 1812–1813 (2023)

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This paper cites URL https://arxiv.org/abs/2505.18555.

Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation URL https://arxiv.org/abs/2505.18555

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation We need a culturally aware approach to ai.�� , 1816–1817 (2023)

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Generative ai has a language problem.�� , 1802–1803 (2023)

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation & Griffiths, T

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Governance of generative ai.�� , 1–22 (2025)

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Human-ai agency in the age of generative ai.�� , 100560 (2025)

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation The Integrated Forward-Forward Algorithm: Integrating Forward-Forward and Shallow Backpropagation With Local Losses

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation URL https://arxiv.org/abs/2602.10422

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Understanding the Vulnerability of CLIP to Image Compression

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Rethinking FID: Towards a Better Evaluation Metric for Image Generation

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation A Note on the Inception Score

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Contrastive Localized Language-Image Pre-Training

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation CLIPScore: A Reference-free Evaluation Metric for Image Captioning

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation & Chen, X

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation TypeScore: A Text Fidelity Metric for Text-to-Image Generative Models

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible Guidance

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Recognition-by-components: a theory of human image under- standing.�� , 115 (1987)

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Art and the brain.�� , 76–96 (1999)

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation H.�� (Cambridge university press, 1996)

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation J., Wade, K

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Creating, using, misusing, and detecting deep fakes.�� (2022)

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation E., Casati, R

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation URL https: //transformer-circuits.pub/2024/scaling-monosemanticity/index.html

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Sparse Autoencoders Find Highly Interpretable Features in Language Models

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Learning Multi-Level Features with Matryoshka Sparse Autoencoders

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation �� (2024)

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-image Generation

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Improved Precision and Recall Metric for Assessing Generative Models

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Physics-informed deep generative models

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Text-image Alignment for Diffusion-based Perception

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Hierarchical Text-Conditional Image Generation with CLIP Latents

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Presented at CVPR 2024 (2024)

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation & Joo, H

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Multi-Novelty: Improve the Diversity and Novelty of Contents Generated by Large Language Models via inference-time Multi-Views Brainstorming

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Unresolved cited work

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Art or Artifice? Large Language Models and the False Promise of Creativity

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Dall�e 3

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Kolors-diffusers

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Stable cascade: Efficient text-to-image generation in highly com- pressed latent spaces

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation URL http://dx.doi.org/10.1016/j.inffus.2023.101861

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Sparks of Artificial General Intelligence: Early experiments with GPT-4

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Demonstration Notebook: Finding the Most Suited In-Context Learning Example from Interactions

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Strong Model Collapse

Reference 79

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation & Etcheverry, L

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation & Rust, R

Reference 81

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Mechanistic Interpretability for AI Safety -- A Review

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation & Yao, Z

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Open Problems in Mechanistic Interpretability

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Persona Vectors: Monitoring and Controlling Character Traits in Language Models

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Steering Language Models With Activation Engineering

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Representation Engineering: A Top-Down Approach to AI Transparency

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Bridging Mechanistic Interpretability and Prompt Engineering with Gradient Ascent for Interpretable Persona Control

Reference 90

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation A Unified Theory of Sparse Dictionary Learning in Mechanistic Interpretability: Piecewise Biconvexity and Spurious Minima

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Microsoft COCO: Common Objects in Context

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation TextCaps: a Dataset for Image Captioning with Reading Comprehension

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation http://dx.doi.org/ 10.1109/ICCV.2019.00904 (2019)

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Adding Conditional Control to Text-to-Image Diffusion Models

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Stable diffusion chest x-ray: Dreambooth model trained on chest-xray14 dataset (2023)

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation k-Sparse Autoencoders

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Sealing The Backdoor: Unlearning Adversarial Text Triggers In Diffusion Models Using Knowledge Distillation Applying sparse autoencoders to unlearn knowledge in language models

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