Two-Face: Adversarial Audit of Commercial Face Recognition Systems

17 November 2021

Papers citing "Two-Face: Adversarial Audit of Commercial Face Recognition Systems"

4 / 4 papers shown

Title
HateProof: Are Hateful Meme Detection Systems really Robust? Piush Aggarwal Pranit Chawla Mithun Das Punyajoy Saha Binny Mathew Torsten Zesch Animesh Mukherjee AAML 31 8 0 11 Feb 2023
Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors Arman Maesumi Mingkang Zhu Yi Wang Tianlong Chen Zhangyang Wang Chandrajit L. Bajaj 24 8 0 22 Apr 2021
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles Ranjie Duan Xingjun Ma Yisen Wang James Bailey •. A. K. Qin Yun Yang AAML 167 224 0 08 Mar 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019