Universal adversarial perturbations

26 October 2016

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Universal adversarial perturbations"

50 / 1,266 papers shown

Title
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey Yulong Wang Tong Sun Shenghong Li Xinnan Yuan W. Ni Ekram Hossain H. Vincent Poor AAML 31 18 0 11 Mar 2023
Do we need entire training data for adversarial training? Vipul Gupta Apurva Narayan AAML 36 1 0 10 Mar 2023
Accurate Real-time Polyp Detection in Videos from Concatenation of Latent Features Extracted from Consecutive Frames H. Qadir Younghak Shin Jacob Bergsland I. Balasingham MedIm 16 3 0 10 Mar 2023
Decision-BADGE: Decision-based Adversarial Batch Attack with Directional Gradient Estimation Geunhyeok Yu Minwoo Jeon Hyoseok Hwang AAML 24 1 0 09 Mar 2023
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples Jinwei Wang Hao Wu Haihua Wang Jiawei Zhang X. Luo Bin Ma AAML 31 0 0 08 Mar 2023
Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models Hassan Ali M. A. Butt F. Filali Ala I. Al-Fuqaha Junaid Qadir AAML 30 2 0 05 Mar 2023
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks Spencer Frei Gal Vardi Peter L. Bartlett Nathan Srebro 48 17 0 02 Mar 2023
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors Long Tang Dengpan Ye Zhenhao Lu Yunming Zhang Shengshan Hu Yue Xu Chuanxi Chen AAML 44 9 0 01 Mar 2023
Harnessing the Speed and Accuracy of Machine Learning to Advance Cybersecurity Khatoon Mohammed AAML 28 10 0 24 Feb 2023
Detecting software vulnerabilities using Language Models Marwan Omar 37 11 0 23 Feb 2023
Interpretable Spectrum Transformation Attacks to Speaker Recognition Jiadi Yao H. Luo Xiao-Lei Zhang AAML 32 1 0 21 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 49 21 0 19 Feb 2023
RobustNLP: A Technique to Defend NLP Models Against Backdoor Attacks Marwan Omar SILM AAML 30 0 0 18 Feb 2023
Masking and Mixing Adversarial Training Hiroki Adachi Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi Yasunori Ishii Kazuki Kozuka AAML 11 1 0 16 Feb 2023
Semantic Image Segmentation: Two Decades of Research G. Csurka Riccardo Volpi Boris Chidlovskii 3DV 37 50 0 13 Feb 2023
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency Junfeng Guo Yiming Li Xun Chen Hanqing Guo Lichao Sun Cong Liu AAML MLAU 21 98 0 07 Feb 2023
Hyperbolic Contrastive Learning Yun Yue Fangzhou Lin Kazunori D Yamada Ziming Zhang SSL 40 18 0 02 Feb 2023
Learning PDE Solution Operator for Continuous Modeling of Time-Series Yesom Park Jaemoo Choi Changyeon Yoon Changhoon Song Myung-joo Kang AI4TS AI4CE 27 3 0 02 Feb 2023
Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks Xiaoyun Xu Oguzhan Ersoy S. Picek AAML 32 2 0 01 Feb 2023
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 29 2 0 01 Feb 2023
Fourier Sensitivity and Regularization of Computer Vision Models K. Krishnamachari See-Kiong Ng Chuan-Sheng Foo OOD 34 2 0 31 Jan 2023
Deep networks for system identification: a Survey G. Pillonetto Aleksandr Aravkin Daniel Gedon L. Ljung Antônio H. Ribeiro Thomas B. Schon OOD 39 37 0 30 Jan 2023
Lateralized Learning for Multi-Class Visual Classification Tasks Abubakar Siddique Will N. Browne Gina M. Grimshaw 31 2 0 30 Jan 2023
On the Adversarial Robustness of Camera-based 3D Object Detection Shaoyuan Xie Zichao Li Zeyu Wang Cihang Xie AAML 35 19 0 25 Jan 2023
A Study on FGSM Adversarial Training for Neural Retrieval Simon Lupart S. Clinchant AAML 40 7 0 25 Jan 2023
Practical Adversarial Attacks Against AI-Driven Power Allocation in a Distributed MIMO Network Ömer Faruk Tuna Fehmí Emre Kadan Leyli Karaçay AAML 35 6 0 23 Jan 2023
Provable Unrestricted Adversarial Training without Compromise with Generalizability Lili Zhang Ning Yang Yanchao Sun Philip S. Yu AAML 30 2 0 22 Jan 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 29 4 0 18 Jan 2023
Uncertainty Estimation based on Geometric Separation Gabriella Chouraqui L. Cohen Gil Einziger Liel Leman 35 0 0 11 Jan 2023
AdvBiom: Adversarial Attacks on Biometric Matchers Debayan Deb Vishesh Mistry Rahul Parthe AAML CVBM 28 3 0 10 Jan 2023
Adversarial training with informed data selection Marcele O. K. Mendonça Javier Maroto P. Frossard P. Diniz AAML 12 4 0 07 Jan 2023
Silent Killer: A Stealthy, Clean-Label, Black-Box Backdoor Attack Tzvi Lederer Gallil Maimon Lior Rokach AAML 19 1 0 05 Jan 2023
GUAP: Graph Universal Attack Through Adversarial Patching Xiao Zang Jie Chen Bo Yuan AAML 20 4 0 04 Jan 2023
Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on Videos Xingxing Wei Songping Wang Huanqian Yan AAML 26 15 0 03 Jan 2023
Generalizable Black-Box Adversarial Attack with Meta Learning Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 34 27 0 01 Jan 2023
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization Bairu Hou Jinghan Jia Yihua Zhang Guanhua Zhang Yang Zhang Sijia Liu Shiyu Chang SILM AAML 24 21 0 19 Dec 2022
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization Shiji Xin Yifei Wang Jingtong Su Yisen Wang OOD 23 7 0 18 Dec 2022
Adversarial Attacks and Defences for Skin Cancer Classification Vinay Jogani J. Purohit Ishaan Shivhare Samina Attari S. Shrawne AAML MedIm 33 2 0 13 Dec 2022
A Survey on Reinforcement Learning Security with Application to Autonomous Driving Ambra Demontis Maura Pintor Christian Scano Kathrin Grosse Hsiao-Ying Lin Chengfang Fang Battista Biggio Fabio Roli AAML 49 4 0 12 Dec 2022
Carpet-bombing patch: attacking a deep network without usual requirements Pol Labarbarie Adrien Chan-Hon-Tong Stéphane Herbin Milad Leyli-Abadi AAML 32 1 0 12 Dec 2022
REAP: A Large-Scale Realistic Adversarial Patch Benchmark Nabeel Hingun Chawin Sitawarin Jerry Li David Wagner AAML 31 14 0 12 Dec 2022
PKDGA: A Partial Knowledge-based Domain Generation Algorithm for Botnets Lihai Nie Xiaoyang Shan Laiping Zhao Keqiu Li 13 5 0 08 Dec 2022
veriFIRE: Verifying an Industrial, Learning-Based Wildfire Detection System Guy Amir Ziv Freund Guy Katz Elad Mandelbaum Idan Refaeli 44 13 0 06 Dec 2022
Probabilistic Verification of ReLU Neural Networks via Characteristic Functions Joshua Pilipovsky Vignesh Sivaramakrishnan Meeko Oishi Panagiotis Tsiotras 37 5 0 03 Dec 2022
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling Lei Shang Mou-Yue Huang Wuxuan Shi Yuchen Liu Yang Liu Fei Wang Baigui Sun Xuansong Xie Yu Qiao UQCV 24 8 0 02 Dec 2022
Hijack Vertical Federated Learning Models As One Party Pengyu Qiu Xuhong Zhang Shouling Ji Changjiang Li Yuwen Pu Xing Yang Ting Wang FedML 30 4 0 01 Dec 2022
Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations Haniyeh Ehsani Oskouie Farzan Farnia FAtt AAML 22 5 0 30 Nov 2022
Backdoor Vulnerabilities in Normally Trained Deep Learning Models Guanhong Tao Zhenting Wang Shuyang Cheng Shiqing Ma Shengwei An Yingqi Liu Guangyu Shen Zhuo Zhang Yunshu Mao Xiangyu Zhang SILM 25 17 0 29 Nov 2022
Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning Eldor Abdukhamidov Mohammed Abuhamad Simon S. Woo Eric Chan-Tin Tamer Abuhmed AAML 36 9 0 29 Nov 2022
Data Poisoning Attack Aiming the Vulnerability of Continual Learning Gyojin Han Jaehyun Choi H. Hong Junmo Kim AAML 14 2 0 29 Nov 2022