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Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

50 / 1,610 papers shown

Title
Hard-Label Black-Box Attacks on 3D Point Clouds Daizong Liu Yunbo Tao Pan Zhou Wei Hu 3DPC 158 0 0 30 Nov 2024
What You See is Not What You Get: Neural Partial Differential Equations and The Illusion of Learning Arvind Mohan Ashesh Chattopadhyay Jonah Miller 194 0 0 22 Nov 2024
Visualizing Loss Functions as Topological Landscape Profiles Caleb Geniesse Jiaqing Chen Tiankai Xie Ge Shi Yaoqing Yang Dmitriy Morozov Talita Perciano Michael W. Mahoney Ross Maciejewski Gunther H. Weber 93 1 0 19 Nov 2024
Evaluating Loss Landscapes from a Topology Perspective Tiankai Xie Caleb Geniesse Jiaqing Chen Yaoqing Yang Dmitriy Morozov Michael W. Mahoney Ross Maciejewski Gunther H. Weber 93 1 0 14 Nov 2024
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning Bacui Li T. Alpcan Chandra Thapa Udaya Parampalli AAML 73 0 0 11 Nov 2024
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing Weizhi Gao Zhichao Hou Han Xu Xiaorui Liu AAML 75 0 0 01 Nov 2024
Noise as a Double-Edged Sword: Reinforcement Learning Exploits Randomized Defenses in Neural Networks Steve Bakos Pooria Madani Heidar Davoudi AAML 78 0 0 31 Oct 2024
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training Tejaswini Medi Steffen Jung Margret Keuper AAML 98 3 0 30 Oct 2024
CausAdv: A Causal-based Framework for Detecting Adversarial Examples Hichem Debbi CML AAML 79 1 0 29 Oct 2024
Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks Zhengbo Zhou Degan Hao Dooman Arefan M. Zuley J. Sumkin Shandong Wu AAML 110 0 0 29 Oct 2024
A Hybrid Defense Strategy for Boosting Adversarial Robustness in Vision-Language Models Yuhan Liang Yijun Li Yumeng Niu Qianhe Shen Hangyu Liu VLM AAML 47 1 0 18 Oct 2024
Active Fourier Auditor for Estimating Distributional Properties of ML Models Ayoub Ajarra Bishwamittra Ghosh Debabrota Basu MLAU 128 2 0 10 Oct 2024
Adversarial Robustness Overestimation and Instability in TRADES Jonathan Weiping Li Ren-Wei Liang Cheng-Han Yeh Cheng-Chang Tsai Kuanchun Yu Chun-Shien Lu Shang-Tse Chen AAML 95 0 0 10 Oct 2024
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing Sarah H. Cen Rohan Alur 113 5 0 07 Oct 2024
TA3: Testing Against Adversarial Attacks on Machine Learning Models Yuanzhe Jin Min Chen 72 0 0 06 Oct 2024
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization Tung M. Luu Thanh Nguyen Tee Joshua Tian Jin Sungwoon Kim Chang D. Yoo AAML 83 0 0 04 Oct 2024
Obtaining Lower Query Complexities through Lightweight Zeroth-Order Proximal Gradient Algorithms Bin Gu Xiyuan Wei Hualin Zhang Yi Chang Heng-Chiao Huang FedML 69 0 0 03 Oct 2024
Characterizing Model Robustness via Natural Input Gradients Adrian Rodriguez-Munoz Tongzhou Wang Antonio Torralba AAML 87 1 0 30 Sep 2024
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of Artificial Mental Imagery Ching-Chun Chang Kai Gao Shuying Xu Anastasia Kordoni Christopher Leckie Isao Echizen 72 0 0 29 Sep 2024
Detecting Dataset Abuse in Fine-Tuning Stable Diffusion Models for Text-to-Image Synthesis Songrui Wang Yubo Zhu Wei Tong Sheng Zhong WIGM 78 0 0 27 Sep 2024
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training Jinpeng Lin Xulei Yang Tianrui Li Xun Xu 3DPC 76 0 0 23 Sep 2024
Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach Nastaran Darabi Dinithi Jayasuriya Devashri Naik Theja Tulabandhula Amit Ranjan Trivedi AAML 79 2 0 19 Sep 2024
A constrained optimization approach to improve robustness of neural networks Shudian Zhao Jan Kronqvist AAML 52 0 0 18 Sep 2024
Golden Ratio Search: A Low-Power Adversarial Attack for Deep Learning based Modulation Classification Deepsayan Sadhukhan N. Shankar Sheetal Kalyani AAML 48 0 0 17 Sep 2024
Are Existing Road Design Guidelines Suitable for Autonomous Vehicles? Yang Sun Christopher M. Poskitt Jun Sun AAML 72 0 0 13 Sep 2024
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures Xinheng Xie Kureha Yamaguchi Margaux Leblanc Simon Malzard Varun Chhabra Victoria Nockles Yue-bo Wu AAML 242 1 0 08 Sep 2024
Disentangled Training with Adversarial Examples For Robust Small-footprint Keyword Spotting Zhenyu Wang Li Wan Biqiao Zhang Yiteng Huang Shang-Wen Li Ming Sun Xin Lei Zhaojun Yang AAML 114 1 0 23 Aug 2024
Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples Zhenyu Wang John H. L. Hansen AAML 89 2 0 23 Aug 2024
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification Hanrui Wang Ruoxi Sun Cunjian Chen Minhui Xue Lay-Ki Soon Shuo Wang Zhe Jin DiffM AAML 92 2 0 20 Aug 2024
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis Kira Maag Roman Resner Asja Fischer AAML 106 0 0 19 Aug 2024
Enhancing Adversarial Transferability with Adversarial Weight Tuning Jiahao Chen Zhou Feng Rui Zeng Yuwen Pu Chunyi Zhou Yi Jiang Yuyou Gan Jinbao Li Shouling Ji AAML 106 1 0 18 Aug 2024
A survey on secure decentralized optimization and learning Changxin Liu Nicola Bastianello Wei Huo Yang Shi Karl H. Johansson 101 4 0 16 Aug 2024
A Multi-task Adversarial Attack Against Face Authentication Hanrui Wang Shuo Wang Cunjian Chen Massimo Tistarelli Zhe Jin CVBM AAML 137 7 0 15 Aug 2024
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack Zhibo Jin Jiayu Zhang Zhiyu Zhu Chenyu Zhang Jiahao Huang Jianlong Zhou Fang Chen AAML 83 1 0 14 Aug 2024
Label Augmentation for Neural Networks Robustness Fatemeh Amerehi Patrick Healy AAML 92 1 0 04 Aug 2024
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack Kuo Gai Sicong Wang Shihua Zhang AAML 87 0 0 01 Aug 2024
On the Perturbed States for Transformed Input-robust Reinforcement Learning Tung M. Luu Haeyong Kang Matthew Groh Thanh Nguyen Chang D. Yoo OOD AAML OffRL 71 0 0 31 Jul 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 155 7 0 28 Jul 2024
Sparse vs Contiguous Adversarial Pixel Perturbations in Multimodal Models: An Empirical Analysis Cristian-Alexandru Botocan Raphael Meier Ljiljana Dolamic AAML 68 0 0 25 Jul 2024
ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition Mohammad Saeed Ebrahimi Saadabadi Sahar Rahimi Malakshan Ali Dabouei Nasser M. Nasrabadi CVBM AAML 99 5 0 20 Jul 2024
Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift Qingyuan Zeng Yunpeng Gong Min Jiang AAML 90 5 0 18 Jul 2024
PG-Attack: A Precision-Guided Adversarial Attack Framework Against Vision Foundation Models for Autonomous Driving Jiyuan Fu Zhaoyu Chen Kaixun Jiang Haijing Guo Shuyong Gao Wenqiang Zhang AAML 83 1 0 18 Jul 2024
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding Mang Ning A. A. Salah Itir Onal Ertugrul CVBM 178 5 0 15 Jul 2024
SENTINEL: Securing Indoor Localization against Adversarial Attacks with Capsule Neural Networks Danish Gufran Pooja Anandathirtha S. Pasricha AAML 88 3 0 14 Jul 2024
CLIP-Guided Networks for Transferable Targeted Attacks Hao Fang Jiawei Kong Bin Chen Tao Dai Hao Wu Shu-Tao Xia AAML 141 6 0 14 Jul 2024
How to beat a Bayesian adversary Zihan Ding Kexin Jin J. Latz Chenguang Liu AAML BDL 84 0 0 11 Jul 2024
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends Daizong Liu Mingyu Yang Xiaoye Qu Pan Zhou Yu Cheng Wei Hu ELM AAML 108 33 0 10 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Yanli Li Zhongliang Guo Nan Yang Huaming Chen Dong Yuan Weiping Ding FedML 95 5 0 09 Jul 2024
Certified Continual Learning for Neural Network Regression Long H. Pham Jun Sun 121 2 0 09 Jul 2024
Universal Multi-view Black-box Attack against Object Detectors via Layout Optimization Donghua Wang Wen Yao Tingsong Jiang Chao Li Xiaoqian Chen AAML 94 0 0 09 Jul 2024