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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Improving Adversarial Transferability via Intermediate-level Perturbation Decay Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 81 22 0 26 Apr 2023
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization Anh-Vu Bui Trung Le He Zhao Quan Hung Tran Paul Montague Dinh Q. Phung AAML 68 0 0 26 Apr 2023
Certifying Ensembles: A General Certification Theory with S-Lipschitzness Aleksandar Petrov Francisco Eiras Amartya Sanyal Philip Torr Adel Bibi UQCV 70 1 0 25 Apr 2023
Lyapunov-Stable Deep Equilibrium Models Haoyu Chu Shikui Wei Ting Liu Yao-Min Zhao Yuto Miyatake AAML 71 5 0 25 Apr 2023
Combining Adversaries with Anti-adversaries in Training Xiaoling Zhou Nan Yang Ou Wu AAML 67 9 0 25 Apr 2023
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning Zhongzhi Yu Shang Wu Y. Fu Shunyao Zhang Yingyan Lin 86 6 0 25 Apr 2023
Evaluating Adversarial Robustness on Document Image Classification Timothée Fronteau Arnaud Paran A. Shabou AAML 85 3 0 24 Apr 2023
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning Y. Fu Ye Yuan Shang Wu Jiayi Yuan Yingyan Lin OOD 128 3 0 24 Apr 2023
Can Decentralized Stochastic Minimax Optimization Algorithms Converge Linearly for Finite-Sum Nonconvex-Nonconcave Problems? Yihan Zhang Wenhao Jiang Feng-Song Zheng C. C. Tan Xinghua Shi Hongchang Gao 53 1 0 24 Apr 2023
SketchXAI: A First Look at Explainability for Human Sketches Zhiyu Qu Yulia Gryaditskaya Ke Li Kaiyue Pang Tao Xiang Yi-Zhe Song 89 8 0 23 Apr 2023
Evading DeepFake Detectors via Adversarial Statistical Consistency Yang Hou Qing Guo Yihao Huang Xiaofei Xie Lei Ma Jianjun Zhao AAML 89 53 0 23 Apr 2023
StyLess: Boosting the Transferability of Adversarial Examples Kaisheng Liang Bin Xiao AAML 71 18 0 23 Apr 2023
Universal Adversarial Backdoor Attacks to Fool Vertical Federated Learning in Cloud-Edge Collaboration Peng Chen Xin Du Zhihui Lu Hongfeng Chai FedML AAML 98 11 0 22 Apr 2023
Detecting Adversarial Faces Using Only Real Face Self-Perturbations Qian Wang Yongqin Xian H. Ling Jinyuan Zhang Xiaorui Lin Ping Li Jiazhong Chen Ning Yu AAML 65 9 0 22 Apr 2023
Individual Fairness in Bayesian Neural Networks Alice Doherty Matthew Wicker Luca Laurenti A. Patané 147 5 0 21 Apr 2023
RoCOCO: Robustness Benchmark of MS-COCO to Stress-test Image-Text Matching Models Seulki Park Daeho Um Hajung Yoon Sanghyuk Chun Sangdoo Yun Hawook Jeong 95 3 0 21 Apr 2023
Certified Adversarial Robustness Within Multiple Perturbation Bounds Soumalya Nandi Sravanti Addepalli Harsh Rangwani R. Venkatesh Babu AAML 66 3 0 20 Apr 2023
Using Z3 for Formal Modeling and Verification of FNN Global Robustness Yihao Zhang Zeming Wei Xiyue Zhang Meng Sun AAML 72 6 0 20 Apr 2023
Can Perturbations Help Reduce Investment Risks? Risk-Aware Stock Recommendation via Split Variational Adversarial Training Jiezhu Cheng Kaizhu Huang Zibin Zheng AAML 69 0 0 20 Apr 2023
Diversifying the High-level Features for better Adversarial Transferability Zhiyuan Wang Zeliang Zhang Siyuan Liang Xiaosen Wang AAML 129 22 0 20 Apr 2023
Federated Compositional Deep AUC Maximization Xinwen Zhang Yihang Zhang Tianbao Yang Richard Souvenir Hongchang Gao FedML 105 8 0 20 Apr 2023
Towards the Universal Defense for Query-Based Audio Adversarial Attacks Feng Guo Zhengyi Sun Yuxuan Chen Lei Ju AAML 59 4 0 20 Apr 2023
Open-World Continual Learning: Unifying Novelty Detection and Continual Learning Gyuhak Kim Changnan Xiao Tatsuya Konishi Zixuan Ke Bin Liu CLL OODD 77 15 0 20 Apr 2023
Jedi: Entropy-based Localization and Removal of Adversarial Patches Bilel Tarchoun Anouar Ben Khalifa Mohamed Ali Mahjoub Nael B. Abu-Ghazaleh Ihsen Alouani AAML 73 25 0 20 Apr 2023
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models Zaitang Li Pin-Yu Chen Tsung-Yi Ho AAML DiffM 50 4 0 19 Apr 2023
Wavelets Beat Monkeys at Adversarial Robustness Jingtong Su Julia Kempe AAML OOD 45 2 0 19 Apr 2023
Robustness of Visual Explanations to Common Data Augmentation Lenka Tětková Lars Kai Hansen AAML 62 6 0 18 Apr 2023
Masked Language Model Based Textual Adversarial Example Detection Xiaomei Zhang Zhaoxi Zhang Qi Zhong Xufei Zheng Yanjun Zhang Shengshan Hu L. Zhang AAML 101 2 0 18 Apr 2023
AI Product Security: A Primer for Developers Ebenezer R. H. P. Isaac J. Reno 36 2 0 18 Apr 2023
RNN-Guard: Certified Robustness Against Multi-frame Attacks for Recurrent Neural Networks Yunruo Zhang Tianyu Du S. Ji Peng Tang Shanqing Guo AAML 64 2 0 17 Apr 2023
Evil from Within: Machine Learning Backdoors through Hardware Trojans Alexander Warnecke Julian Speith Janka Möller Konrad Rieck C. Paar AAML 211 3 0 17 Apr 2023
A Random-patch based Defense Strategy Against Physical Attacks for Face Recognition Systems Jiahao Xie Ye Luo Jianwei Lu AAML CVBM 35 3 0 16 Apr 2023
Combining Generators of Adversarial Malware Examples to Increase Evasion Rate M. Kozák M. Jureček AAML 29 1 0 14 Apr 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications Anqi Mao M. Mohri Yutao Zhong AAML 123 332 0 14 Apr 2023
Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense Jingyuan Wang Yufan Wu Mingxuan Li Xin Lin Junjie Wu Chao Li AAML 64 13 0 14 Apr 2023
Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model Dingcheng Yang Wenjian Yu Zihao Xiao Jiaqi Luo AAML DiffM 60 5 0 14 Apr 2023
RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions Shaoyuan Xie Lingdong Kong Wenwei Zhang Jiawei Ren Liang Pan Kai-xiang Chen Ziwei Liu 95 25 0 13 Apr 2023
False Claims against Model Ownership Resolution Jian Liu Rui Zhang S. Szyller Kui Ren Nirmal Asokan AAML MLAU 123 12 0 13 Apr 2023
Adversarial Examples from Dimensional Invariance Benjamin L. Badger 58 0 0 13 Apr 2023
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser Astha Verma A. Subramanyam Siddhesh Bangar Naman Lal R. Shah Shiníchi Satoh 123 5 0 13 Apr 2023
Understanding Overfitting in Adversarial Training via Kernel Regression Teng Zhang Kang Li 63 2 0 13 Apr 2023
Generative Adversarial Networks-Driven Cyber Threat Intelligence Detection Framework for Securing Internet of Things M. Ferrag Djallel Hamouda Merouane Debbah Leandros A. Maglaras Abderrahmane Lakas 64 9 0 12 Apr 2023
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training Juntao Tan Shelby Heinecke Zhiwei Liu Yong-Guang Chen Yongfeng Zhang Haiquan Wang AAML 68 5 0 11 Apr 2023
Overload: Latency Attacks on Object Detection for Edge Devices Erh-Chung Chen Pin-Yu Chen I-Hsin Chung Che-Rung Lee AAML 110 15 0 11 Apr 2023
Boosting Cross-task Transferability of Adversarial Patches with Visual Relations Tony Ma Songze Li Yisong Xiao Shunchang Liu 57 1 0 11 Apr 2023
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense Yue-li Cui Syed Imran Ali Meerza Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu AAML FedML 91 5 0 11 Apr 2023
Simultaneous Adversarial Attacks On Multiple Face Recognition System Components Inderjeet Singh Kazuya Kakizaki Toshinori Araki CVBM AAML PICV 54 0 0 11 Apr 2023
Evaluation of Test-Time Adaptation Under Computational Time Constraints Motasem Alfarra Hani Itani Alejandro Pardo Shyma Alhuwaider Merey Ramazanova Juan C. Pérez Zhipeng Cai Matthias Müller Guohao Li TTA 97 4 0 10 Apr 2023
Generating Adversarial Attacks in the Latent Space Nitish Shukla Sudipta Banerjee 90 8 0 10 Apr 2023
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence Hanbin Hong Xinyu Zhang Binghui Wang Zhongjie Ba Yuan Hong AAML 81 3 0 10 Apr 2023