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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 104 17 0 08 Feb 2023
Linking convolutional kernel size to generalization bias in face analysis CNNs Hao Liang J. O. Caro Vikram Maheshri Ankit B. Patel Guha Balakrishnan CVBM CML 70 0 0 07 Feb 2023
Toward Face Biometric De-identification using Adversarial Examples Mahdieh Ghafourian Julian Fierrez Luis F. Gomez R. Vera-Rodríguez Aythami Morales Zohra Rezgui Raymond N. J. Veldhuis PICV AAML 52 7 0 07 Feb 2023
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence Simin Li Jun Guo Jingqiao Xiu Pu Feng Xin Yu Aishan Liu Wenjun Wu Xianglong Liu AAML 120 16 0 07 Feb 2023
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning Sunyi Chi B. Dong Yiming Xu Zhenyu Shi Zheng Du NoLa 102 3 0 06 Feb 2023
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts Amrith Rajagopal Setlur D. Dennis Benjamin Eysenbach Aditi Raghunathan Chelsea Finn Virginia Smith Sergey Levine OOD 67 11 0 06 Feb 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks Salah Ghamizi Jingfeng Zhang Maxime Cordy Mike Papadakis Masashi Sugiyama Yves Le Traon AAML 78 3 0 06 Feb 2023
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks Jan Schuchardt Aleksandar Bojchevski Johannes Gasteiger Stephan Günnemann AAML 70 26 0 06 Feb 2023
Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend Ning Lu Shengcai Liu Zhirui Zhang Qi. Wang Haifeng Liu Jiaheng Zhang AAML 152 8 0 06 Feb 2023
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation Junjie Huang Qi Cao Ruobing Xie Shaoliang Zhang Feng Xia Huawei Shen Xueqi Cheng 38 9 0 05 Feb 2023
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection Federica Granese Marco Romanelli S. Garg Pablo Piantanida AAML 58 0 0 04 Feb 2023
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks Shashank Agnihotri Steffen Jung Margret Keuper AAML 95 23 0 04 Feb 2023
Certified Robust Control under Adversarial Perturbations Jinghan Yang Hunmin Kim Wenbin Wan N. Hovakimyan Yevgeniy Vorobeychik AAML 36 1 0 04 Feb 2023
Advances in Automatically Rating the Trustworthiness of Text Processing Services Biplav Srivastava Kausik Lakkaraju Mariana Bernagozzi Marco Valtorta 52 6 0 04 Feb 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics Jiacheng Zhu Jielin Qiu Aritra Guha Zhuolin Yang X. Nguyen Yue Liu Ding Zhao OOD 108 2 0 04 Feb 2023
Rating Sentiment Analysis Systems for Bias through a Causal Lens Kausik Lakkaraju Biplav Srivastava Marco Valtorta 60 8 0 04 Feb 2023
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification Lingfeng Shen Ze Zhang Haiyun Jiang Ying-Cong Chen AAML 116 5 0 03 Feb 2023
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels Simone Bombari Shayan Kiyani Marco Mondelli AAML 141 10 0 03 Feb 2023
Lateralization in Agents' Decision Making: Evidence of Benefits/Costs from Artificial Intelligence Abubakar Siddique Will N. Browne Gina M. Grimshaw 25 0 0 03 Feb 2023
Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation Hyoungwook Nam Raghavendra Pradyumna Pothukuchi Yangqiu Song Nam Sung Kim Josep Torrellas AAML 43 2 0 03 Feb 2023
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications Chengyu Dong OOD UQCV BDL AI4CE 130 0 0 02 Feb 2023
Hyperbolic Contrastive Learning Yun Yue Fangzhou Lin Kazunori D Yamada Ziming Zhang SSL 133 21 0 02 Feb 2023
On the Robustness of Randomized Ensembles to Adversarial Perturbations Hassan Dbouk Naresh R Shanbhag AAML 77 8 0 02 Feb 2023
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types Jianfei Gao Yangze Zhou Jincheng Zhou Bruno Ribeiro 111 13 0 02 Feb 2023
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function Ruijie Zheng Xiyao Wang Huazhe Xu Furong Huang 107 15 0 02 Feb 2023
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense Zunzhi You Daochang Liu Bohyung Han Chang Xu AAML VLM 108 4 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 45 3 0 02 Feb 2023
Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index A. Khademi M. Hopka Devesh Upadhyay OOD 75 3 0 01 Feb 2023
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 62 2 0 01 Feb 2023
Exploring Semantic Perturbations on Grover Pranav Kulkarni Ziqing Ji Yan Xu Marko Neskovic Kevin Nolan DeLMO 13 2 0 01 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gaël Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 88 13 0 01 Feb 2023
CertViT: Certified Robustness of Pre-Trained Vision Transformers K. Gupta S. Verma ViT 60 5 0 01 Feb 2023
Towards Large Certified Radius in Randomized Smoothing using Quasiconcave Optimization Bo-Han Kung Shang-Tse Chen AAML 56 1 0 01 Feb 2023
Reverse engineering adversarial attacks with fingerprints from adversarial examples David A. Nicholson Vincent Emanuele SILM MLAU 82 4 0 31 Jan 2023
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks Zhiyuan Cheng James Liang Guanhong Tao Dongfang Liu Xiangyu Zhang 105 22 0 31 Jan 2023
ZhichunRoad at Amazon KDD Cup 2022: MultiTask Pre-Training for E-Commerce Product Search Xuange Cui Wei Xiong Songlin Wang 57 2 0 31 Jan 2023
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion Zhuoqun Huang Neil G. Marchant Keane Lucas Lujo Bauer O. Ohrimenko Benjamin I. P. Rubinstein AAML 103 17 0 31 Jan 2023
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers Hugo Lemarchant Liang Li Yiming Qian Yuta Nakashima Hajime Nagahara ViT AAML 80 0 0 31 Jan 2023
Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval Maciej Wiatrak Eirini Arvaniti Angus Brayne Jonas Vetterle Aaron Sim 77 2 0 30 Jan 2023
Language-Driven Anchors for Zero-Shot Adversarial Robustness Xiao-Li Li Wei Emma Zhang Yining Liu Zhan Hu Bo Zhang Xiaolin Hu 110 9 0 30 Jan 2023
On the Efficacy of Metrics to Describe Adversarial Attacks Tommaso Puccetti T. Zoppi Andrea Ceccarelli AAML 32 2 0 30 Jan 2023
Benchmarking Robustness to Adversarial Image Obfuscations Florian Stimberg Ayan Chakrabarti Chun-Ta Lu Hussein Hazimeh Otilia Stretcu ... Merve Kaya Cyrus Rashtchian Ariel Fuxman Mehmet Tek Sven Gowal AAML 92 10 0 30 Jan 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual Example Zeliang Zhang Peihan Liu Xiaosen Wang Chenliang Xu AAML 62 3 0 30 Jan 2023
Identifying Adversarially Attackable and Robust Samples Vyas Raina Mark Gales AAML 79 3 0 30 Jan 2023
On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex Terry Yue Zhuo Zhuang Li Yujin Huang Fatemeh Shiri Weiqing Wang Gholamreza Haffari Yuan-Fang Li AAML 107 57 0 30 Jan 2023
Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness Bao Gia Doan Shuiqiao Yang Paul Montague O. Vel Tamas Abraham S. Çamtepe S. Kanhere Ehsan Abbasnejad Damith C. Ranasinghe OOD AAML 84 8 0 30 Jan 2023
Lateralized Learning for Multi-Class Visual Classification Tasks Abubakar Siddique Will N. Browne Gina M. Grimshaw 39 2 0 30 Jan 2023
Uncovering Adversarial Risks of Test-Time Adaptation Tong Wu Feiran Jia Xiangyu Qi Jiachen T. Wang Vikash Sehwag Saeed Mahloujifar Prateek Mittal AAML TTA 123 9 0 29 Jan 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 129 19 0 29 Jan 2023
Unlocking Deterministic Robustness Certification on ImageNet Kaiqin Hu Andy Zou Zifan Wang Klas Leino Matt Fredrikson OOD 135 14 0 29 Jan 2023