Adversarial Machine Learning

Publication

A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data

October 21, 2023/by Academic Web Pages

moe

Robust Mixture-of-Expert Training for Convolutional Neural Networks

October 1, 2023/by Academic Web Pages

How does the Memorization of Neural Networks Impact Adversarial Robust Models?

August 7, 2023/by Academic Web Pages

Distributed Adversarial Training to Robustify Deep Neural Networks at Scale

July 31, 2023/by Academic Web Pages

Probabilistic Categorical Adversarial Attack and Adversarial Training

July 23, 2023/by Academic Web Pages

TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization

May 1, 2023/by Academic Web Pages

CLAWSAT

ClawSAT: Towards Both Robust and Accurate Code Models

March 21, 2023/by Academic Web Pages

Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning

February 6, 2023/by Academic Web Pages

fastbat

Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization

July 17, 2022/by Academic Web Pages

OPTML gong2022reverse

Reverse Engineering of Imperceptible Adversarial Image Perturbations

April 25, 2022/by Academic Web Pages