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Workshop
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Benchmarking Adversarial Robustness of Compressed Deep Learning Models
Brijesh Vora · Kartik Patwari · Syed Mahbub Hafiz · Zubair Shafiq · Chen-Nee Chuah
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Workshop
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On feasibility of intent obfuscating attacks
ZhaoBin Li · Patrick Shafto
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Workshop
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Robust Semantic Segmentation: Strong Adversarial Attacks and Fast Training of Robust Models
Francesco Croce · Naman Singh · Matthias Hein
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Workshop
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Identifying Adversarially Attackable and Robust Samples
Vyas Raina · Mark Gales
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Workshop
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Near Optimal Adversarial Attack on UCB Bandits
Shiliang Zuo
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Workshop
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Why do universal adversarial attacks work on large language models?: Geometry might be the answer
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Workshop
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Black Box Adversarial Prompting for Foundation Models
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Workshop
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Near Optimal Adversarial Attack on UCB Bandits
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Workshop
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Black Box Adversarial Prompting for Foundation Models
Natalie Maus · Patrick Chao · Eric Wong · Jacob Gardner
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Workshop
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Why do universal adversarial attacks work on large language models?: Geometry might be the answer
Varshini Subhash · Anna Bialas · Siddharth Swaroop · Weiwei Pan · Finale Doshi-Velez
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Workshop
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AdversNLP: A Practical Guide to Assessing NLP Robustness Against Text Adversarial Attacks
Othmane BELMOUKADAM
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Workshop
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AdversNLP: A Practical Guide to Assessing NLP Robustness Against Text Adversarial Attacks
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