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Paper Citation Record · LEDGER

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction

As of 7 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2607.04484.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.04484 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T18:48:48.581852Z

measured 61 of 61 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

61 of 61 outbound references displayed

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  • verified fuzzy0
  • unresolved58
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

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Outbound references

Observation 050b405e-0928-481f-81ad-baaa2cf75609 · outbound

This paper cites Deep Variational Information Bottleneck.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction Deep Variational Information Bottleneck

Reference 1

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Observation afc3e874-2df4-4d36-87da-7babe0609a82 · outbound

This paper cites Qwen Technical Report.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction Qwen Technical Report

Reference 2

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Observation 75e46d9b-3402-442b-bf64-e6d41e086dbe · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

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Observation eb1bf3f2-5f70-4983-b137-3b70d5d52bda · outbound

This paper cites In: 32nd USENIX Security Symposium (USENIX Security ’23).

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: 32nd USENIX Security Symposium (USENIX Security ’23)

Reference 4

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Observation ffa09d69-d9a7-4052-853b-c7fed2011a55 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 5

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Observation bb1fef16-a011-425c-800a-382b59992f57 · outbound

This paper cites LeakyCLIP: Extracting Training Data from CLIP.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction LeakyCLIP: Extracting Training Data from CLIP

Reference 6

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Observation 5db47425-3dc3-48ec-8a1b-0806172db931 · outbound

This paper cites In: CVPR.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: CVPR

Reference 7

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Observation 72ae7ddb-3287-4fa0-82b6-a13b102cfffe · outbound

This paper cites Advances in neural information processing systems34, 8780–8794 (2021).

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction Advances in neural information processing systems34, 8780–8794 (2021)

Reference 8

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Observation bb3286e3-4ca5-475b-a1b8-793b4e948dfc · outbound

This paper cites In: CVPR.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: CVPR

Reference 9

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Observation f8340c55-6531-45ee-bbe7-d7cc41bcdded · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 10

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Observation 51c74350-29a6-47d1-99d3-408b844e0488 · outbound

This paper cites Censoring Representations with an Adversary.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction Censoring Representations with an Adversary

Reference 11

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Observation 408b9a1d-3dc3-45a7-b101-6e56f2127264 · outbound

This paper cites Electronics14(7), 1282 (2025).https://doi.org/10.3390/ electronics14071282.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction Electronics14(7), 1282 (2025).https://doi.org/10.3390/ electronics14071282

Reference 12

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Observation 6d181e1e-9826-4597-8a86-53a0d5bc9e38 · outbound

This paper cites In: Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security (CCS).

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security (CCS)

Reference 13

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Observation aa481cb7-be3d-4ef7-a7df-929a428d6e6a · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 14

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Observation ca380b56-386a-4bad-af1c-d1e66901dab3 · outbound

This paper cites In: Advances in Neural Information Processing Systems.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Advances in Neural Information Processing Systems

Reference 15

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Observation 17c879ec-222c-479a-a75e-046a60a1f2fa · outbound

This paper cites In: CVPR.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: CVPR

Reference 16

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Observation 7c1e7b23-658b-4cf4-a57d-4d57ca85b8bb · outbound

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TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction Unresolved cited work

Reference 17

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Observation 98fd02e6-9cfe-447b-99cb-4f6e94757bc4 · outbound

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TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction Unresolved cited work

Reference 18

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Observation aacf54f1-5f4b-4163-b10a-f96abc544163 · outbound

This paper cites In: NeurIPS.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: NeurIPS

Reference 19

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Observation a0c8d365-1a76-4332-abf7-3f2c23b227e4 · outbound

This paper cites In: International conference on machine learning.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: International conference on machine learning

Reference 20

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Observation 731366d6-6860-4b75-89b7-9713c0cc022b · outbound

This paper cites Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training

Reference 21

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Observation 5a670c59-a240-412f-8eeb-f3e32777f86a · outbound

This paper cites an unresolved cited work.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction Unresolved cited work

Reference 22

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Observation 0789dab0-1d8c-4014-b7af-bd9f06e458f9 · outbound

This paper cites com/mlfoundations/open_clip(2021).

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction com/mlfoundations/open_clip(2021)

Reference 23

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Observation a96a4e37-0dfd-4c4b-bc11-c4888edd35fc · outbound

This paper cites In: CVPR (2024).

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: CVPR (2024)

Reference 24

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Observation 5e06df4b-9dac-4207-b2d0-eb9e6647b4e6 · outbound

This paper cites What do we learn from inverting CLIP models?.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction What do we learn from inverting CLIP models?

Reference 25

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Observation 4634b428-7569-47db-ba06-021dd29466ce · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 26

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Observation 7b691386-c651-4064-a2d2-38a878f1bdd9 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 27

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Observation 37e89067-6f75-483f-915c-27888a9d9b91 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 28

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Observation ec282ca4-02db-4097-8e5d-dcff23605ce8 · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction Evaluating Object Hallucination in Large Vision-Language Models

Reference 29

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Observation 35ed8ced-f7ef-4d57-bca5-f0e1b3d99e55 · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction Improved Baselines with Visual Instruction Tuning

Reference 30

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Observation 3a5c2645-5eb0-4ce3-b05c-c622fb5da42a · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 31

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Observation f16648be-d1e8-49ff-a061-c888588e8cf6 · outbound

This paper cites Visual Instruction Tuning.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction Visual Instruction Tuning

Reference 32

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Observation e4c352a3-2579-4b51-bf1b-63894c0fca70 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 33

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Observation ee547ed2-3524-4963-b471-0d541cdeef6e · outbound

This paper cites Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering

Reference 34

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Observation 9ba613a1-3982-437c-a7ac-99e56717a97b · outbound

This paper cites In: CVPR.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: CVPR

Reference 35

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Observation 88eb3e27-1bb8-4ad1-a1d2-66b9e49cb60f · outbound

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TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 36

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Observation 6c910bf7-c98b-467e-8c68-4525fa9abb1d · outbound

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TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction Unresolved cited work

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Observation c82be3be-1bf9-4381-8ad4-2a93b5dcd105 · outbound

This paper cites In: CVPR.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: CVPR

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Observation 5558f867-ab73-43c2-971d-353e1d0085ec · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 39

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Observation 1a786f81-31d4-4538-8f1c-fced0fd2e799 · outbound

This paper cites In: CVPR.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: CVPR

Reference 40

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Observation 46417a52-36df-482d-8278-61d3bd1d4ce3 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction DINOv2: Learning Robust Visual Features without Supervision

Reference 41

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Observation 3ee68746-d630-441b-9570-4f2156989d97 · outbound

This paper cites In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Proceedings of the IEEE/CVF Confer- ence on Computer Vision and Pattern Recognition

Reference 42

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Observation cb312a49-f72a-4053-8c3e-c095334cabef · outbound

This paper cites In: International Conference of Machine Learning.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: International Conference of Machine Learning

Reference 43

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Observation d57e9fa8-7652-488a-8001-f21f80458152 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 44

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Observation 89f70ad3-a956-4264-87e2-dd2fb193b146 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 45

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Observation fff967ff-f7c9-4826-9b31-8fe7bb627306 · outbound

This paper cites IEEE Internet of Things Journal (2025).

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction IEEE Internet of Things Journal (2025)

Reference 46

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Observation 5206297c-dea9-48ea-929b-a52ba970d5ba · outbound

This paper cites Towards VQA Models That Can Read.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction Towards VQA Models That Can Read

Reference 47

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Observation 1c1b0445-538f-4f08-b186-abdda7f0222b · outbound

This paper cites In: ICLR (2021).

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: ICLR (2021)

Reference 48

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Observation 0333b0eb-2b3f-4c39-a476-169e39528af2 · outbound

This paper cites In: CVPR.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: CVPR

Reference 49

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Observation a5e778a0-6cc9-4052-8169-c4ad477f614c · outbound

This paper cites In: International Conference of Machine Learning.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: International Conference of Machine Learning

Reference 50

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source=pdf_text observed=2026-07-11T18:48:48.581852Z digest=sha256:9e145550a6ca23ac2dded83514ebd9fe5399196edcb53587865e2214d5aeea67

Observation 4852d3e1-4a15-478b-9b61-3b132456b99f · outbound

This paper cites In: Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security

Reference 51

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source=pdf_text observed=2026-07-11T18:48:48.581852Z digest=sha256:8e342aefc36c0534f87870155001ad208fc0358a2460f08cba3b1a8b922117cb

Observation 7cf0a8d3-9715-4b81-b2e5-8dc6a4cd401e · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 52

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Observation 24660065-7454-4521-a562-3fe21a5478c5 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Proceed- ings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops

Reference 53

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Observation 2e8f9268-6cad-471c-8b39-9ab15eefc29f · outbound

This paper cites 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition pp.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition pp

Reference 54

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Observation 2914a6ff-eac8-486f-896e-aa5802da8e48 · outbound

This paper cites In: Proceedings of the 33rd ACM In- ternational Conference on Multimedia (MM ’25).

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Proceedings of the 33rd ACM In- ternational Conference on Multimedia (MM ’25)

Reference 55

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arxiv_id, observed 2026-07-11T18:58:11.489033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-11T18:48:48.581852Z digest=sha256:d615c4f1e1f18d576aa6dc9fd9bea62f074beb2ab7a6e2457e42ac40a2f2027a

Observation f7bd1adf-06cf-48ac-b46e-f319301c6999 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 56

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Observation 1cd8d24f-b774-45dd-aa00-d256fa1c99db · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 57

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Observation 242108f7-98ff-4e1f-9c04-31b1c966f4b9 · outbound

This paper cites In: Proceedings of the IEEE/CVF international conference on computer vision.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: Proceedings of the IEEE/CVF international conference on computer vision

Reference 58

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source=pdf_text observed=2026-07-11T18:48:48.581852Z digest=sha256:2153d8361bcc2d295c8e2881f26ab11375ca2225ff80a6e47694dc70b45fd851

Observation 73dda727-3f25-41e4-b5c1-4452856c75d9 · outbound

This paper cites In: ICCV (2023).

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: ICCV (2023)

Reference 59

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Observation 71531dd3-3d17-449c-8c66-8518b6f440cf · outbound

This paper cites In: CVPR (2018).

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction In: CVPR (2018)

Reference 60

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source=pdf_text observed=2026-07-11T18:48:48.581852Z digest=sha256:67213ed89567631ce73529d0e4b6aa27a48a6f9eac293104a136fd2ec57a4648

Observation cff58b55-e198-4ea6-aa20-fb62d9a02fc3 · outbound

This paper cites an unresolved cited work.

TrustCLIP: Learning Private Visual Features via Adversarial Reconstruction Unresolved cited work

Reference 61

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Pith citing papers

No inbound Pith citation observations are available.