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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
The Perception-Robustness Tradeoff in Deterministic Image Restoration Guy Ohayon T. Michaeli Michael Elad AAML 78 7 0 14 Nov 2023
On The Relationship Between Universal Adversarial Attacks And Sparse Representations Dana Weitzner Raja Giryes AAML 121 0 0 14 Nov 2023
AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification Zirui Gong Liyue Shen Yanjun Zhang Leo Yu Zhang Jingwei Wang Guangdong Bai Yong Xiang AAML 75 7 0 13 Nov 2023
Robust Text Classification: Analyzing Prototype-Based Networks Zhivar Sourati D. Deshpande Filip Ilievski Kiril Gashteovski S. Saralajew OOD OffRL 85 2 0 11 Nov 2023
Learning-Based Biharmonic Augmentation for Point Cloud Classification Jiacheng Wei Guosheng Lin Henghui Ding Jie Hu Kim-Hui Yap 3DPC 81 1 0 10 Nov 2023
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly Qizhang Li Yiwen Guo Wangmeng Zuo Hao Chen ELM AAML 128 4 0 02 Nov 2023
Exploring Geometry of Blind Spots in Vision Models S. Balasubramanian Gaurang Sriramanan Vinu Sankar Sadasivan Soheil Feizi AAML 69 2 0 30 Oct 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 75 12 0 28 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David Evans AAML 104 6 0 26 Oct 2023
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation Kira Maag Asja Fischer AAML SSeg 73 4 0 26 Oct 2023
Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow Erik Scheurer Jenny Schmalfuss Alexander Lis Andrés Bruhn AAML 78 6 0 26 Oct 2023
Quantifying Assistive Robustness Via the Natural-Adversarial Frontier Jerry Zhi-Yang He Zackory M. Erickson Daniel S. Brown Anca Dragan AAML 83 0 0 16 Oct 2023
DANAA: Towards transferable attacks with double adversarial neuron attribution Zhibo Jin Zhiyu Zhu Xinyi Wang Jiayu Zhang Jun Shen Huaming Chen AAML 66 10 0 16 Oct 2023
Evading Detection Actively: Toward Anti-Forensics against Forgery Localization Long Zhuo Shenghai Luo Shunquan Tan Han Chen Bin Li Jiwu Huang AAML 63 0 0 16 Oct 2023
Black-box Targeted Adversarial Attack on Segment Anything (SAM) Sheng Zheng Chaoning Zhang Xinhong Hao AAML 117 7 0 16 Oct 2023
Effects of Human Adversarial and Affable Samples on BERT Generalization Aparna Elangovan Jiayuan He Yuan Li Karin Verspoor 108 3 0 12 Oct 2023
Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing Yuan Xin Dingfan Chen Michael Backes Xiao Zhang AAML 72 0 0 12 Oct 2023
The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research Thomas Decker Ralf Gross Alexander Koebler Michael Lebacher Ronald Schnitzer Stefan H. Weber 80 2 0 11 Oct 2023
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization Zexu Sun Bowei He Ming Ma Jiakai Tang Yuchen Wang Chen Ma Dugang Liu 69 4 0 07 Oct 2023
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models Ziyi Yin Muchao Ye Tianrong Zhang Tianyu Du Jinguo Zhu Han Liu Jinghui Chen Ting Wang Fenglong Ma AAML VLM CoGe 89 44 0 07 Oct 2023
Improving classifier decision boundaries using nearest neighbors Johannes Schneider AAML 82 0 0 05 Oct 2023
OMG-ATTACK: Self-Supervised On-Manifold Generation of Transferable Evasion Attacks Ofir Bar Tal Adi Haviv Amit H. Bermano AAML 79 0 0 05 Oct 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally Shawqi Al-Maliki Adnan Qayyum Hassan Ali M. Abdallah Junaid Qadir D. Hoang Dusit Niyato Ala I. Al-Fuqaha AAML 121 3 0 05 Oct 2023
Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection System Khushnaseeb Roshan Aasim Zafar Sheikh Burhan Ul Haque AAML 131 40 0 05 Oct 2023
Splitting the Difference on Adversarial Training Matan Levi A. Kontorovich 94 4 0 03 Oct 2023
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm Qi Wang Yiqin Lv Yanghe Feng Zheng Xie Jincai Huang 82 9 0 01 Oct 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 121 11 0 29 Sep 2023
Projected Randomized Smoothing for Certified Adversarial Robustness Samuel Pfrommer Brendon G. Anderson Somayeh Sojoudi AAML 81 16 0 25 Sep 2023
Order-preserving Consistency Regularization for Domain Adaptation and Generalization Mengmeng Jing Xiantong Zhen Jingjing Li Cees G. M. Snoek 97 4 0 23 Sep 2023
Reducing Adversarial Training Cost with Gradient Approximation Huihui Gong AAML 65 0 0 18 Sep 2023
Differentiable JPEG: The Devil is in the Details Christoph Reich Biplob K. Debnath Deep Patel S. Chakradhar DiffM 108 10 0 13 Sep 2023
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense Jianqiao Wangni 84 0 0 13 Sep 2023
AdvMono3D: Advanced Monocular 3D Object Detection with Depth-Aware Robust Adversarial Training Xingyuan Li Jinyuan Liu Long Ma Xin-Yue Fan Risheng Liu AAML 90 3 0 03 Sep 2023
Towards Certified Probabilistic Robustness with High Accuracy Ruihan Zhang Peixin Zhang Jun Sun AAML 65 0 0 02 Sep 2023
Vulnerability of Machine Learning Approaches Applied in IoT-based Smart Grid: A Review Zhenyong Zhang Mengxiang Liu Mingyang Sun Ruilong Deng Peng Cheng Dusit Niyato Mo-Yuen Chow Jiming Chen 115 47 0 30 Aug 2023
On the Robustness of Object Detection Models on Aerial Images Hao He Jian Ding Gui-Song Xia Gui-Song Xia 77 5 0 29 Aug 2023
Imperceptible Adversarial Attack on Deep Neural Networks from Image Boundary Fahad Alrasheedi Agnibh Dasgupta AAML 77 2 0 29 Aug 2023
Advancing Adversarial Robustness Through Adversarial Logit Update Hao Xuan Peican Zhu Xingyu Li AAML 85 0 0 29 Aug 2023
OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams Yiqun Diao Yutong Yang Yue Liu Bin He Mian Lu 85 3 0 29 Aug 2023
RecRec: Algorithmic Recourse for Recommender Systems Sahil Verma Ashudeep Singh Varich Boonsanong John P. Dickerson Chirag Shah 79 2 0 28 Aug 2023
Fast Adversarial Training with Smooth Convergence Mengnan Zhao Lulu Zhang Yuqiu Kong Baocai Yin AAML 51 8 0 24 Aug 2023
Enhancing Adversarial Attacks: The Similar Target Method Shuo Zhang Ziruo Wang Zikai Zhou Huanran Chen AAML 98 1 0 21 Aug 2023
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting Qidong Huang Xiaoyi Dong DongDong Chen Yinpeng Chen Lu Yuan Gang Hua Weiming Zhang Neng H. Yu AAML 110 9 0 20 Aug 2023
DFB: A Data-Free, Low-Budget, and High-Efficacy Clean-Label Backdoor Attack Binhao Ma Jiahui Wang Dejun Wang Bo Meng AAML 54 0 0 18 Aug 2023
A Review of Adversarial Attacks in Computer Vision Yutong Zhang Yao Li Yin Li Zhichang Guo AAML 86 3 0 15 Aug 2023
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack Yunbo Tao Daizong Liu Pan Zhou Yulai Xie Wei Du Wei Hu 3DPC AAML 89 13 0 15 Aug 2023
On the Interplay of Convolutional Padding and Adversarial Robustness Paul Gavrikov J. Keuper AAML 90 3 0 12 Aug 2023
Face Encryption via Frequency-Restricted Identity-Agnostic Attacks Xinjie Dong Rui Wang Siyuan Liang Aishan Liu Lihua Jing AAML PICV 91 9 0 11 Aug 2023
Symmetry Defense Against XGBoost Adversarial Perturbation Attacks Blerta Lindqvist AAML 75 0 0 10 Aug 2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception Jiyoung Lee Seung Wook Kim Seunghyun Won Joonseok Lee Marzyeh Ghassemi James Thorne Jaeseok Choi O.-Kil Kwon Edward Choi 124 1 0 03 Aug 2023