adversarial-machine-learning topic

A curated collection of adversarial attack and defense on recommender systems.

EdisonLeeeee

Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.

qilong-zhang

Copy cat model for Proofpoint

moohax

The official implementation of the CCS'23 paper, Narcissus clean-label backdoor attack -- only takes THREE images to poison a face recognition dataset in a clean-label way and achieves a 99.89% attack...

ruoxi-jia-group

Feature Scattering Adversarial Training (NeurIPS19)

Haichao-Zhang

My entry for ICLR 2018 Reproducibility Challenge for paper Synthesizing robust adversarial examples https://openreview.net/pdf?id=BJDH5M-AW

prabhant

Deflecting Adversarial Attacks with Pixel Deflection

iamaaditya

Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).

huanzhang12

A Closer Look at Accuracy vs. Robustness

yangarbiter

Adversarial Distributional Training (NeurIPS 2020)

dongyp13