FaceGuard: A Self-Supervised Defense Against Adversarial Face Images

FaceGuard: A Self-Supervised Defense Against Adversarial Face Images

28 November 2020

Xiaoming Liu

Papers citing "FaceGuard: A Self-Supervised Defense Against Adversarial Face Images"

10 / 10 papers shown

Title
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 34 10 0 28 Oct 2023
Enhancing Adversarial Robustness via Score-Based Optimization Boya Zhang Weijian Luo Zhihua Zhang DiffM 32 13 0 10 Jul 2023
Synthetic Data in Human Analysis: A Survey Indu Joshi Marcel Grimmer Christian Rathgeb Christoph Busch F. Brémond A. Dantcheva 40 46 0 19 Aug 2022
SoK: Anti-Facial Recognition Technology Emily Wenger Shawn Shan Haitao Zheng Ben Y. Zhao PICV 32 13 0 08 Dec 2021
Data Poisoning Won't Save You From Facial Recognition Evani Radiya-Dixit Sanghyun Hong Nicholas Carlini Florian Tramèr AAML PICV 17 57 0 28 Jun 2021
Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning Haibin Wu Xu Li Andy T. Liu Zhiyong Wu Helen Meng Hung-yi Lee AAML SSL 47 29 0 01 Jun 2021
Exploring Adversarial Fake Images on Face Manifold Dongze Li Wei Wang Hongxing Fan Jing Dong AAML 40 42 0 09 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 306 10,378 0 12 Dec 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 308 5,842 0 08 Jul 2016