This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial example for image classifiers.
updated at Oct. 5, 2024, 8:13 a.m.
Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18
updated at Sept. 27, 2024, 11:38 a.m.
Code accompanying the paper "Auditing fairness by Betting"
updated at May 26, 2024, 7:50 a.m.
Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
updated at Jan. 1, 2024, 4:30 p.m.
Code for the experiment proposed in Section 4.2 of the paper "The Bouncer Problem: Challenges to Remote Explainability".
updated at Oct. 6, 2020, 12:17 a.m.
Exploit black-box recommenders for algorithm selection.
updated at June 16, 2020, 9:13 a.m.