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Generation and Countermeasures of adversarial examples on vision: a survey

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it

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citation-polarity summary

fields

cs.CR 1 cs.CV 1

years

2026 2

verdicts

UNVERDICTED 2

roles

background 1

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background 1

representative citing papers

SDM: A Powerful Tool for Evaluating Model Robustness

cs.CV · 2026-05-19 · unverdicted · novelty 7.0

SDM is a new staged gradient attack that reconstructs the adversarial objective around probability differences and reports stronger performance than prior methods like APGD.

AVISE: Framework for Evaluating the Security of AI Systems

cs.CR · 2026-04-22 · unverdicted · novelty 6.0

AVISE provides a new framework and automated SET that identifies jailbreak vulnerabilities in language models with 92% accuracy, finding all nine tested models vulnerable to an augmented Red Queen attack.

citing papers explorer

Showing 2 of 2 citing papers.

  • SDM: A Powerful Tool for Evaluating Model Robustness cs.CV · 2026-05-19 · unverdicted · none · ref 4

    SDM is a new staged gradient attack that reconstructs the adversarial objective around probability differences and reports stronger performance than prior methods like APGD.

  • AVISE: Framework for Evaluating the Security of AI Systems cs.CR · 2026-04-22 · unverdicted · none · ref 23

    AVISE provides a new framework and automated SET that identifies jailbreak vulnerabilities in language models with 92% accuracy, finding all nine tested models vulnerable to an augmented Red Queen attack.