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Poster
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Thu 6:00
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Concise Explanations of Neural Networks using Adversarial Training
Prasad Chalasani · Jiefeng Chen · Amrita Roy Chowdhury · Xi Wu · Somesh Jha
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Poster
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Wed 14:00
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Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce · Matthias Hein
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Poster
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Thu 6:00
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Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification
Chen Dan · Yuting Wei · Pradeep Ravikumar
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Poster
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Thu 6:00
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Robustness to Programmable String Transformations via Augmented Abstract Training
Yuhao Zhang · Aws Albarghouthi · Loris D'Antoni
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Poster
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Tue 18:00
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Efficiently Learning Adversarially Robust Halfspaces with Noise
Omar Montasser · Surbhi Goel · Ilias Diakonikolas · Nati Srebro
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Poster
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Tue 9:00
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Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions
Arpit Agarwal · Shivani Agarwal · Sanjeev Khanna · Prathamesh Patil
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Poster
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Wed 9:00
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Adversarial Robustness Against the Union of Multiple Perturbation Models
Pratyush Maini · Eric Wong · Zico Kolter
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Poster
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Tue 7:00
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Accelerated Stochastic Gradient-free and Projection-free Methods
Feihu Huang · Lue Tao · Songcan Chen
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Poster
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Wed 8:00
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Black-box Certification and Learning under Adversarial Perturbations
Hassan Ashtiani · Vinayak Pathak · Ruth Urner
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Poster
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Tue 8:00
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Overfitting in adversarially robust deep learning
Leslie Rice · Eric Wong · Zico Kolter
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Poster
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Tue 8:00
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Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources
Yun Yun Tsai · Pin-Yu Chen · Tsung-Yi Ho
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Poster
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Thu 15:00
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Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness
Aounon Kumar · Alexander Levine · Tom Goldstein · Soheil Feizi
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