Adversarial Attacks against Face Recognition: A Comprehensive Study

Adversarial Attacks against Face Recognition: A Comprehensive Study

22 July 2020

Fatemeh Vakhshiteh

Raghavendra Ramachandra

Papers citing "Adversarial Attacks against Face Recognition: A Comprehensive Study"

8 / 8 papers shown

Title
On the Robustness of Explanations of Deep Neural Network Models: A Survey Amlan Jyoti Karthik Balaji Ganesh Manoj Gayala Nandita Lakshmi Tunuguntla Sandesh Kamath V. Balasubramanian XAI FAtt AAML 34 4 0 09 Nov 2022
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? Lijie Fan Sijia Liu Pin-Yu Chen Gaoyuan Zhang Chuang Gan AAML VLM 22 120 0 01 Nov 2021
State of the Art: Face Recognition Rubel Biswas Pablo Blanco-Medina CVBM 14 6 0 26 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 38 236 0 01 Aug 2021
On the Robustness of Face Recognition Algorithms Against Attacks and Bias Richa Singh Akshay Agarwal Maneet Singh Shruti Nagpal Mayank Vatsa CVBM AAML 59 65 0 07 Feb 2020
On adversarial patches: real-world attack on ArcFace-100 face recognition system Mikhail Aleksandrovich Pautov Grigorii Melnikov Edgar Kaziakhmedov Klim Kireev Aleksandr Petiushko CVBM PICV AAML 45 53 0 15 Oct 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 326 5,847 0 08 Jul 2016
Deeply learned face representations are sparse, selective, and robust Yi Sun Xiaogang Wang Xiaoou Tang CVBM 252 921 0 03 Dec 2014