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51 Results
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Workshop
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Computing non-vacuous PAC-Bayes generalization bounds for Models under Adversarial Corruptions Waleed Mustafa · Philipp Liznerski · Dennis Wagner · Puyu Wang · Marius Kloft |
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Workshop
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Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage Catherine Huang · Chelse Swoopes · Christina Xiao · Jiaqi Ma · Himabindu Lakkaraju |
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Workshop
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Adversarial Training in Continuous-Time Models and Irregularly Sampled Time-Series Alvin Li · Mathias Lechner · Alexander Amini · Daniela Rus |
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Workshop
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FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation Dhruv Pai · Andres Carranza · Rylan Schaeffer · Arnuv Tandon · Sanmi Koyejo |
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Workshop
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Model-tuning Via Prompts Makes NLP Models Adversarially Robust Mrigank Raman · Pratyush Maini · Zico Kolter · Zachary Lipton · Danish Pruthi |
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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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Black Box Adversarial Prompting for Foundation Models Natalie Maus · Patrick Chao · Eric Wong · Jacob Gardner |
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Affinity Workshop
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Mon 19:15 |
Generative network-based reduced-order model for prediction, data assimilation and uncertainty quantification Vinicius L S Silva · Claire Heaney · Christopher Pain |
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Workshop
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PIAT: Parameter Interpolation based Adversarial Training for Image Classification Kun He · Xin Liu · Yichen Yang · Zhou Qin · Weigao Wen · Hui Xue' · John Hopcroft |
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Workshop
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DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles Chejian Xu · Ding Zhao · Alberto Sngiovanni Vincentelli · Bo Li |
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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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Fri 13:10 |
Evading Black-box Classifiers Without Breaking Eggs Edoardo Debenedetti · Nicholas Carlini · Florian Tramer |