Author of the publication

Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks.

, , , , , and . NeurIPS, page 5545-5559. (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Optimization Induced Equilibrium Networks., , , , , , and . CoRR, (2021)Revisiting Loss Landscape for Adversarial Robustness., , and . CoRR, (2020)Reparameterized Sampling for Generative Adversarial Networks., , , and . ECML/PKDD (3), volume 12977 of Lecture Notes in Computer Science, page 494-509. Springer, (2021)Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks., , , , , and . ICCV, page 6143-6153. IEEE, (2023)Analysis and Applications of Class-wise Robustness in Adversarial Training., , , , and . KDD, page 1561-1570. ACM, (2021)Improving Gravitational Wave Detection with 2D Convolutional Neural Networks., , , , and . ICPR, page 7103-7110. IEEE, (2020)On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization., , , and . AAAI, page 10519-10527. AAAI Press, (2023)CFA: Class-Wise Calibrated Fair Adversarial Training., , , and . CVPR, page 8193-8201. IEEE, (2023)Generalist: Decoupling Natural and Robust Generalization., and . CVPR, page 20554-20563. IEEE, (2023)Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation., , , , , and . CVPR, page 12434-12443. IEEE, (2022)