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Workshop
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Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage
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Workshop
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PIAT: Parameter Interpolation based Adversarial Training for Image Classification
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Workshop
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Adversarial Training with Generated Data in High-Dimensional Regression: An Asymptotic Study
Yue Xing
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Workshop
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Adversarial Training in Continuous-Time Models and Irregularly Sampled Time-Series: A First Look
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Poster
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Wed 14:00
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Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule
Naoki Sato · Hideaki Iiduka
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Poster
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Thu 16:30
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Better Diffusion Models Further Improve Adversarial Training
Zekai Wang · Tianyu Pang · Chao Du · Min Lin · Weiwei Liu · Shuicheng YAN
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Workshop
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Mathematical Theory of Adversarial Deep Learning
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Poster
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Thu 16:30
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Probabilistic Categorical Adversarial Attack and Adversarial Training
Han Xu · Pengfei He · Jie Ren · Yuxuan Wan · Zitao Liu · Hui Liu · Jiliang Tang
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Poster
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Wed 17:00
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Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations
Hong-Ming Chiu · Richard Zhang
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Workshop
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Fri 13:20
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Tunable Dual-Objective GANs for Stable Training
Monica Welfert · Kyle Otstot · Gowtham Kurri · Lalitha Sankar
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Poster
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Tue 17:00
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Towards Stable and Efficient Adversarial Training against l1 Bounded Adversarial Attacks
Yulun Jiang · Chen Liu · Zhichao Huang · Mathieu Salzmann · Sabine Süsstrunk
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Poster
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Wed 17:00
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One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
Sekitoshi Kanai · Shin'ya Yamaguchi · Masanori Yamada · Hiroshi Takahashi · Kentaro Ono · Yasutoshi Ida
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