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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors Ben Pinhasov Raz Lapid Rony Ohayon Moshe Sipper Y. Aperstein AAML 82 7 0 05 Mar 2024
Here Comes The AI Worm: Unleashing Zero-click Worms that Target GenAI-Powered Applications Stav Cohen Ron Bitton Ben Nassi 108 24 0 05 Mar 2024
Towards Robust Federated Learning via Logits Calibration on Non-IID Data Yu Qiao Apurba Adhikary Chaoning Zhang Choong Seon Hong FedML 80 9 0 05 Mar 2024
Minimum Topology Attacks for Graph Neural Networks Mengmei Zhang Tianlin Li Chuan Shi Lingjuan Lyu Tianchi Yang Junping Du AAML 78 8 0 05 Mar 2024
DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-training Zihao Wang Rui Zhu Dongruo Zhou Zhikun Zhang John C. Mitchell Haixu Tang Wenyuan Xu AAML 84 6 0 05 Mar 2024
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks Zijian Huang Wenda Chu Linyi Li Chejian Xu Yue Liu AAML 97 0 0 04 Mar 2024
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models Lin Li Haoyan Guan Jianing Qiu Michael W. Spratling AAML VLM VPVLM 104 24 0 04 Mar 2024
SAR-AE-SFP: SAR Imagery Adversarial Example in Real Physics domain with Target Scattering Feature Parameters Jiahao Cui Jiale Duan Binyan Luo Hang Cao Wang Guo Haifeng Li 52 0 0 02 Mar 2024
Adversarial Testing for Visual Grounding via Image-Aware Property Reduction Zhiyuan Chang Mingyang Li Junjie Wang Cheng Li Boyu Wu Fanjiang Xu Qing Wang AAML 73 0 0 02 Mar 2024
Resilience of Entropy Model in Distributed Neural Networks Milin Zhang Mohammad Abdi Shahriar Rifat Francesco Restuccia AAML 87 0 0 01 Mar 2024
On Robustness and Generalization of ML-Based Congestion Predictors to Valid and Imperceptible Perturbations Chester Holtz Yucheng Wang Chung-Kuan Cheng Bill Lin AAML OOD 44 0 0 29 Feb 2024
Unraveling Adversarial Examples against Speaker Identification -- Techniques for Attack Detection and Victim Model Classification Sonal Joshi Thomas Thebaud Jesús Villalba Najim Dehak AAML 60 1 0 29 Feb 2024
Verification of Neural Networks' Global Robustness Anan Kabaha Dana Drachsler-Cohen AAML OOD 79 6 0 29 Feb 2024
Pointing out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials Gennaro Nolano Moritz Blum Basil Ell Philipp Cimiano 66 1 0 29 Feb 2024
Training-set-free two-stage deep learning for spectroscopic data de-noising Dongchen Huang Junde Liu Tian Qian Hongming Weng 68 0 0 29 Feb 2024
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense Qiao Han yong huang Xinling Guo Yiteng Zhai Yu Qin Yao Yang AAML 112 1 0 29 Feb 2024
Pre-training Differentially Private Models with Limited Public Data Zhiqi Bu Xinwei Zhang Mingyi Hong Sheng Zha George Karypis 121 4 0 28 Feb 2024
Catastrophic Overfitting: A Potential Blessing in Disguise Mengnan Zhao Lihe Zhang Yuqiu Kong Baocai Yin AAML 87 1 0 28 Feb 2024
Understanding the Role of Pathways in a Deep Neural Network Lei Lyu Chen Pang Jihua Wang 76 3 0 28 Feb 2024
Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks Zhewei Wu Ruilong Yu Qihe Liu Shuying Cheng Shilin Qiu Shijie Zhou AAML 90 0 0 28 Feb 2024
Towards Fairness-Aware Adversarial Learning Yanghao Zhang Tianle Zhang Ronghui Mu Xiaowei Huang Wenjie Ruan 98 4 0 27 Feb 2024
Black-box Adversarial Attacks Against Image Quality Assessment Models Yu Ran Ao Zhang Mingjie Li Weixuan Tang Yuan-Gen Wang 78 12 0 27 Feb 2024
Extreme Miscalibration and the Illusion of Adversarial Robustness Vyas Raina Samson Tan Volkan Cevher Aditya Rawal Sheng Zha George Karypis AAML 90 3 0 27 Feb 2024
MGE: A Training-Free and Efficient Model Generation and Enhancement Scheme Xuan Wang Zeshan Pang Yuliang Lu Xuehu Yan 64 0 0 27 Feb 2024
Transparent Image Layer Diffusion using Latent Transparency Lvmin Zhang Maneesh Agrawala 134 51 0 27 Feb 2024
Adversarial Perturbations of Physical Signals Robert L. Bassett Austin Van Dellen Anthony P. Austin AAML 46 0 0 27 Feb 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free Bo Yang Hengwei Zhang Jin-dong Wang Yulong Yang Chenhao Lin Chao Shen Zhengyu Zhao SILM AAML 178 3 0 27 Feb 2024
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates Daniele Angioni Christian Scano Maura Pintor Luca Oneto Davide Anguita Battista Biggio Fabio Roli AAML 116 3 0 27 Feb 2024
A Curious Case of Remarkable Resilience to Gradient Attacks via Fully Convolutional and Differentiable Front End with a Skip Connection Leonid Boytsov Ameya Joshi Filipe Condessa AAML 50 0 0 26 Feb 2024
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem Georg Pichler Marco Romanelli Divya Prakash Manivannan Prashanth Krishnamurthy Farshad Khorrami Siddharth Garg 67 3 0 26 Feb 2024
Edge Detectors Can Make Deep Convolutional Neural Networks More Robust Jin Ding Jie-Chao Zhao Yong-zhi Sun Ping Tan Jia-Wei Wang Ji-en Ma You-tong Fang AAML 98 2 0 26 Feb 2024
Unveiling Vulnerability of Self-Attention Khai Jiet Liong Hongqiu Wu Haizhen Zhao 73 0 0 26 Feb 2024
Improving behavior based authentication against adversarial attack using XAI Dong Qin G. Amariucai Daji Qiao Yong Guan AAML 102 2 0 26 Feb 2024
Investigating Deep Watermark Security: An Adversarial Transferability Perspective Biqing Qi Junqi Gao Yiang Luo Jianxing Liu Ligang Wu Bowen Zhou AAML 69 3 0 26 Feb 2024
Layer-wise Regularized Dropout for Neural Language Models Shiwen Ni Min Yang Ruifeng Xu Chengming Li Xiping Hu 58 0 0 26 Feb 2024
Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech Szu-Wei Fu Kuo-Hsuan Hung Yu Tsao Yu-Chiang Frank Wang SSL 78 13 0 26 Feb 2024
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion Xuantong Liu Tianyang Hu Wei Cao Kenji Kawaguchi Yuan Yao DiffM 129 3 0 26 Feb 2024
ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings Hao Wang Hao Li Minlie Huang Lei Sha AAML 111 14 0 25 Feb 2024
Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation Xiaohui Chen Tie Luo MedIm OOD 29 0 0 25 Feb 2024
Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks Zhiying Jiang Xingyuan Li Jinyuan Liu Xin-Yue Fan Risheng Liu AAML 69 5 0 25 Feb 2024
Optimal Zero-Shot Detector for Multi-Armed Attacks Federica Granese Marco Romanelli Pablo Piantanida AAML 81 0 0 24 Feb 2024
GiMeFive: Towards Interpretable Facial Emotion Classification Jiawen Wang Leah Kawka FAtt CVBM 69 2 0 24 Feb 2024
Reinforcement Learning-Based Approaches for Enhancing Security and Resilience in Smart Control: A Survey on Attack and Defense Methods Zheyu Zhang AAML 52 0 0 23 Feb 2024
Distilling Adversarial Robustness Using Heterogeneous Teachers Jieren Deng A. Palmer Rigel Mahmood Ethan Rathbun Jinbo Bi Kaleel Mahmood Derek Aguiar AAML 82 1 0 23 Feb 2024
Fast Adversarial Attacks on Language Models In One GPU Minute Vinu Sankar Sadasivan Shoumik Saha Gaurang Sriramanan Priyatham Kattakinda Atoosa Malemir Chegini Soheil Feizi MIALM 106 42 0 23 Feb 2024
Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales Shuren Qi Yushu Zhang Chao Wang Zhihua Xia Xiaochun Cao Jian Weng 63 1 0 23 Feb 2024
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation Yi Zhang Yun Tang Wenjie Ruan Xiaowei Huang Siddartha Khastgir P. Jennings Xingyu Zhao AAML 70 4 0 23 Feb 2024
A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing Daniel Gibert Giulio Zizzo Quan Le Jordi Planes AAML 76 4 0 23 Feb 2024
On the Duality Between Sharpness-Aware Minimization and Adversarial Training Yihao Zhang Hangzhou He Jingyu Zhu Huanran Chen Yifei Wang Zeming Wei AAML 127 15 0 23 Feb 2024
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting Rong Dai Yonggang Zhang Ang Li Tongliang Liu Xun Yang Bo Han FedML 130 16 0 23 Feb 2024