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GeoDA: A Geometric Framework for Black-Box Adversarial Attacks
ICLR Paper: Sign-OPT: A Query-Efficient Hard-Label Adversarial Attack
GeoDA: a geometric framework for black-box adversarial attacks
Limited query black-box adversarial attacks in the real world | Fission 2020
N ATTACK: Improved Black-Box Adversarial Attack For GAN
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Simulating Unknown Target Models for Query-Efficient Black-box Attacks
DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural Networks (Video, ESEC/FSE 2020)
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Last Updated: September 27, 2026
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Summary
IEEE Security and Privacy 2020 Hacking conference This is a test run for a presentation I gave about Authors: Huichen Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li Description: Machine learning (ML), especially deep neural ... Authors: Ali Rahmati, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard, Huaiyu Dai Description: Adversarial examples are ... For AI to be truly trustworthy, we also believe its integrity must be maintained. People need to feel confident that an AI system's ... This is a paper presentation on the This a video commentary for the CVPR 2021 paper: Simulating Unknown Target Models for
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