Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks

22 February 2018

Papers citing "Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks"

50 / 59 papers shown

Title
Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks Sun Haoxuan Hong Yan Zhan Jiahui Chen Haoxing Lan Jun Zhu Huijia Wang Weiqiang Zhang Liqing Zhang Jianfu AAML 408 0 0 06 May 2025
SAP-DIFF: Semantic Adversarial Patch Generation for Black-Box Face Recognition Models via Diffusion Models Mingsi Wang Shuaiyin Yao Chang Yue Lijie Zhang Guozhu Meng DiffM AAML 109 0 0 27 Feb 2025
Discerning the Chaos: Detecting Adversarial Perturbations while Disentangling Intentional from Unintentional Noises Anubhooti Jain Susim Roy Kwanit Gupta Mayank Vatsa Richa Singh AAML 85 0 0 29 Sep 2024
Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation Yuan Xiao Shiqing Ma Juan Zhai Chunrong Fang Jinyuan Jia Zhenyu Chen AAML 88 1 0 02 Jun 2024
Verification of Neural Networks' Global Robustness Anan Kabaha Dana Drachsler-Cohen AAML OOD 74 6 0 29 Feb 2024
Simultaneous Adversarial Attacks On Multiple Face Recognition System Components Inderjeet Singh Kazuya Kakizaki Toshinori Araki CVBM AAML PICV 57 0 0 11 Apr 2023
Controllable Inversion of Black-Box Face Recognition Models via Diffusion Manuel Kansy Anton Raël Graziana Mignone Jacek Naruniec Christopher Schroers Markus Gross Romann M. Weber DiffM 142 20 0 23 Mar 2023
Do we need entire training data for adversarial training? Vipul Gupta Apurva Narayan AAML 70 1 0 10 Mar 2023
Robust Smart Home Face Recognition under Starving Federated Data Jaechul Roh Yajun Fang FedML CVBM AAML 63 0 0 10 Nov 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses Adnan Qayyum M. A. Butt Hassan Ali Muhammad Usman O. Halabi Ala I. Al-Fuqaha Q. Abbasi Muhammad Ali Imran Junaid Qadir 84 38 0 24 Oct 2022
Is Face Recognition Safe from Realizable Attacks? Sanjay Saha Terence Sim CVBM AAML 44 3 0 15 Oct 2022
Boosting Robustness Verification of Semantic Feature Neighborhoods Anan Kabaha Dana Drachsler-Cohen AAML 90 6 0 12 Sep 2022
RAF: Recursive Adversarial Attacks on Face Recognition Using Extremely Limited Queries Keshav Kasichainula Hadi Mansourifar W. Shi AAML 73 1 0 04 Jul 2022
Attack Analysis of Face Recognition Authentication Systems Using Fast Gradient Sign Method Arbena Musa Kamer Vishi Blerim Rexha CVBM AAML 35 21 0 10 Mar 2022
Towards Assessing and Characterizing the Semantic Robustness of Face Recognition Juan C. Pérez Motasem Alfarra Ali K. Thabet Pablo Arbelaez Guohao Li AAML 72 1 0 10 Feb 2022
Repairing Adversarial Texts through Perturbation Guoliang Dong Jingyi Wang Jun Sun Sudipta Chattopadhyay Xinyu Wang Ting Dai Jie Shi J. Dong AAML 34 2 0 29 Dec 2021
Pixel-Level Face Image Quality Assessment for Explainable Face Recognition Philipp Terhörst Marco Huber Naser Damer Florian Kirchbuchner Kiran Raja Arjan Kuijper CVBM 165 28 0 21 Oct 2021
Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations Inci M. Baytas Debayan Deb AAML 55 7 0 22 Aug 2021
Adversarial Relighting Against Face Recognition Qian Zhang Qing Guo Ruijun Gao Felix Juefei Xu Hongkai Yu Wei Feng AAML 129 22 0 18 Aug 2021
Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models P. Majumdar S. Mittal Richa Singh Mayank Vatsa CVBM 118 19 0 14 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 165 242 0 01 Aug 2021
Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition Benjamin Spetter-Goldstein Nataniel Ruiz Sarah Adel Bargal AAML 36 0 0 19 Jul 2021
Dual Head Adversarial Training Yujing Jiang Xingjun Ma S. Erfani James Bailey AAML 52 4 0 21 Apr 2021
Distributional Robustness Loss for Long-tail Learning Dvir Samuel Gal Chechik OOD 111 100 0 07 Apr 2021
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification S. Silva Arun Das I. Scarff Peyman Najafirad AAML 61 1 0 05 Apr 2021
Explaining Adversarial Vulnerability with a Data Sparsity Hypothesis Mahsa Paknezhad Cuong Phuc Ngo Amadeus Aristo Winarto Alistair Cheong Beh Chuen Yang Wu Jiayang Lee Hwee Kuan OOD AAML 76 9 0 01 Mar 2021
Trustworthy AI Richa Singh Mayank Vatsa Nalini Ratha 53 4 0 02 Nov 2020
WaveTransform: Crafting Adversarial Examples via Input Decomposition Divyam Anshumaan Akshay Agarwal Mayank Vatsa Richa Singh AAML 54 11 0 29 Oct 2020
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound S. Chhabra Akshay Agarwal Richa Singh Mayank Vatsa AAML 66 3 0 25 Oct 2020
Learning Loss for Test-Time Augmentation Ildoo Kim Younghoon Kim Sungwoong Kim OOD 83 92 0 22 Oct 2020
Adversarial Examples in Deep Learning for Multivariate Time Series Regression Gautam Raj Mode K. A. Hoque AAML AI4TS 72 58 0 24 Sep 2020
Measurement-driven Security Analysis of Imperceptible Impersonation Attacks Shasha Li K. Khalil Yikang Shen Chengyu Song S. Krishnamurthy Amit K. Roy-Chowdhury A. Swami AAML 36 2 0 26 Aug 2020
Securing CNN Model and Biometric Template using Blockchain Akhil Goel Akshay Agarwal Mayank Vatsa Richa Singh Nalini Ratha 63 31 0 31 Jul 2020
Adversarial Attacks against Face Recognition: A Comprehensive Study Fatemeh Vakhshiteh A. Nickabadi Raghavendra Ramachandra AAML 83 16 0 22 Jul 2020
Deep Learning Techniques for Future Intelligent Cross-Media Retrieval S. Rehman M. Waqas Shanshan Tu Anis Koubaa O. Rehman Jawad Ahmad Muhammad Hanif Zhu Han 44 6 0 21 Jul 2020
Facial Recognition: A cross-national Survey on Public Acceptance, Privacy, and Discrimination Léa Steinacker Miriam Meckel Genia Kostka Damian Borth 21 11 0 15 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey S. Silva Peyman Najafirad AAML OOD 108 135 0 01 Jul 2020
Towards Transferable Adversarial Attack against Deep Face Recognition Yaoyao Zhong Weihong Deng AAML 105 162 0 13 Apr 2020
Security and Privacy in IoT Using Machine Learning and Blockchain: Threats & Countermeasures Nazar Waheed Xiangjian He Muhammad Ikram Muhammad Usman Saad Sajid Hashmi Muhammad Usman 78 6 0 10 Feb 2020
On the Robustness of Face Recognition Algorithms Against Attacks and Bias Richa Singh Akshay Agarwal Maneet Singh Shruti Nagpal Mayank Vatsa CVBM AAML 134 66 0 07 Feb 2020
Detecting Face2Face Facial Reenactment in Videos Prabhat Kumar Mayank Vatsa Richa Singh PICV CVBM 64 50 0 21 Jan 2020
The Security of IP-based Video Surveillance Systems Naor Kalbo Yisroel Mirsky A. Shabtai Yuval Elovici CVBM 47 55 0 23 Oct 2019
Adversarial Learning with Margin-based Triplet Embedding Regularization Yaoyao Zhong Weihong Deng AAML 91 50 0 20 Sep 2019
AdvFaces: Adversarial Face Synthesis Debayan Deb Jianbang Zhang Anil K. Jain GAN CVBM AAML PICV 99 129 0 14 Aug 2019
Identifying Classes Susceptible to Adversarial Attacks Rangeet Pan Md Johirul Islam Shibbir Ahmed Hridesh Rajan AAML 28 7 0 30 May 2019
Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems Kazuya Kakizaki Kosuke Yoshida AAML CVBM 79 19 0 09 May 2019
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks Fatemeh Sheikholeslami Swayambhoo Jain G. Giannakis AAML 67 25 0 05 Apr 2019
A Comprehensive Overview of Biometric Fusion Maneet Singh Richa Singh Arun Ross 88 190 0 08 Feb 2019
Data Fine-tuning S. Chhabra P. Majumdar Mayank Vatsa Richa Singh AAML 108 13 0 10 Dec 2018
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network Q. Song Yingqi Wu Lu Yang AAML CVBM GAN 125 98 0 29 Nov 2018