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Workshop
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Shrink & Cert: Bi-level Optimization for Certified Robustness
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Poster
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Tue 14:00
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Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
Dongyoon Yang · Insung Kong · Yongdai Kim
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Workshop
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CertViT: Certified Robustness of Pre-Trained Vision Transformers
Kavya Gupta · Sagar Verma
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Workshop
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PIAT: Parameter Interpolation based Adversarial Training for Image Classification
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Poster
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Wed 14:00
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On the Robustness of Randomized Ensembles to Adversarial Perturbations
Hassan Dbouk · Naresh Shanbhag
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Workshop
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Establishing a Benchmark for Adversarial Robustness of Compressed Deep Learning Models after Pruning
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Workshop
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FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation
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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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Workshop
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PAC-Bayesian Adversarially Robust Generalization Bounds for Deep Neural Networks
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Workshop
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Adversarial Robustness for Tabular Data through Cost and Utility Awareness
Klim Kireev · Bogdan Kulynych · Carmela Troncoso
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Workshop
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Model-tuning Via Prompts Makes NLP Models Adversarially Robust
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Poster
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Wed 17:00
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Stratified Adversarial Robustness with Rejection
Jiefeng Chen · Jayaram Raghuram · Jihye Choi · Xi Wu · Yingyiu Liang · Somesh Jha
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