adversarial-machine-learning topic

Code implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX Security 2018

bolunwang

Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]

dedeswim

This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"

shashankkotyan

[NeurIPS 2021] Fast Certified Robust Training with Short Warmup

shizhouxing

Black-box Adversarial Attacks on Video Recognition Models. (VBAD)

Jack-lx-jiang

Adversarial generation of gene expression data using Generative Adversarial Networks

rvinas

[ICLR 2021] "Generating Adversarial Computer Programs using Optimized Obfuscations" by Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, and Una-May O'Reilly

ALFA-group

A Paperlist of Adversarial Attack on Object Detection

idrl-lab

[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning

chenhongge

[NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contribution)

chenhongge