v1v2 (latest)

Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

50 / 1,610 papers shown

Title
Meta Generative Attack on Person Reidentification M. I. A V Subramanyam AAML 72 8 0 16 Jan 2023
Phase-shifted Adversarial Training Yeachan Kim Seongyeon Kim Ihyeok Seo Bonggun Shin AAML OOD 79 0 0 12 Jan 2023
Universal Detection of Backdoor Attacks via Density-based Clustering and Centroids Analysis Wei Guo B. Tondi Mauro Barni AAML 67 9 0 11 Jan 2023
AdvBiom: Adversarial Attacks on Biometric Matchers Debayan Deb Vishesh Mistry Rahul Parthe AAML CVBM 74 3 0 10 Jan 2023
RobArch: Designing Robust Architectures against Adversarial Attacks Sheng-Hsuan Peng Weilin Xu Cory Cornelius Kevin Wenliang Li Rahul Duggal Duen Horng Chau Jason Martin AAML 59 6 0 08 Jan 2023
Beckman Defense A. V. Subramanyam OOD AAML 81 0 0 04 Jan 2023
Unlocking Metaverse-as-a-Service The three pillars to watch: Privacy and Security, Edge Computing, and Blockchain Vesal Ahsani Alireza Rahimi Mehdi Letafati B. Khalaj 97 15 0 01 Jan 2023
Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence Han Fang Jiyi Zhang Yupeng Qiu Ke Xu Chengfang Fang E. Chang AAML 100 2 0 31 Dec 2022
Learning When to Use Adaptive Adversarial Image Perturbations against Autonomous Vehicles Hyung-Jin Yoon H. Jafarnejadsani P. Voulgaris AAML 58 7 0 28 Dec 2022
Aliasing is a Driver of Adversarial Attacks Adrian Rodriguez-Munoz Antonio Torralba AAML 64 0 0 22 Dec 2022
A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks Yifan Zhang Junhui Hou Yixuan Yuan AAML 3DPC 69 34 0 20 Dec 2022
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification Ming-Chang Chiu Pin-Yu Chen Xuezhe Ma 96 6 0 16 Dec 2022
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices Salah Ghamizi Maxime Cordy Michail Papadakis Yves Le Traon OOD 49 3 0 15 Dec 2022
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection Zhenyu Wu Lin Wang Wen Wang Qing Xia Chenglizhao Chen Aimin Hao Shuo Li AAML 108 5 0 13 Dec 2022
Adversarially Robust Video Perception by Seeing Motion Lingyu Zhang Chengzhi Mao Junfeng Yang Carl Vondrick VGen AAML 87 2 0 13 Dec 2022
Carpet-bombing patch: attacking a deep network without usual requirements Pol Labarbarie Adrien Chan-Hon-Tong Stéphane Herbin Milad Leyli-Abadi AAML 61 1 0 12 Dec 2022
Understanding and Combating Robust Overfitting via Input Loss Landscape Analysis and Regularization Lin Li Michael W. Spratling AAML 92 35 0 09 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 105 19 0 05 Dec 2022
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 134 10 0 01 Dec 2022
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations Hong-Ming Chiu Richard Y. Zhang AAML 86 3 0 30 Nov 2022
A3T: Accuracy Aware Adversarial Training Enes Altinisik Safa Messaoud Husrev Taha Sencar Sanjay Chawla 59 6 0 29 Nov 2022
Understanding the Impact of Adversarial Robustness on Accuracy Disparity Yuzheng Hu Fan Wu Hongyang R. Zhang Hang Zhao 87 8 0 28 Nov 2022
Imperceptible Adversarial Attack via Invertible Neural Networks Zihan Chen Zifan Wang Junjie Huang Wentao Zhao Xiao Liu Dejian Guan AAML 135 22 0 28 Nov 2022
Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition Rohit Gupta Naveed Akhtar Gaurav Kumar Nayak Ajmal Mian M. Shah AAML 71 1 0 23 Nov 2022
Benchmarking Adversarially Robust Quantum Machine Learning at Scale Maxwell T. West S. Erfani C. Leckie M. Sevior Lloyd C. L. Hollenberg Muhammad Usman AAML OOD 84 35 0 23 Nov 2022
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization Jiafeng Wang Zhaoyu Chen Kaixun Jiang Dingkang Yang Lingyi Hong Pinxue Guo Yan Wang Wenqiang Zhang AAML 126 31 0 21 Nov 2022
Spectral Adversarial Training for Robust Graph Neural Network Jintang Li Jiaying Peng Liang Chen Zibin Zheng Tingting Liang Qing Ling AAML OOD 60 20 0 20 Nov 2022
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality Guy Ohayon Theo Adrai Michael Elad T. Michaeli AAML 107 14 0 16 Nov 2022
Improving Interpretability via Regularization of Neural Activation Sensitivity Ofir Moshe Gil Fidel Ron Bitton A. Shabtai AAML AI4CE 50 4 0 16 Nov 2022
Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning Yiran Huang Yexu Zhou Michael Hefenbrock T. Riedel Likun Fang Michael Beigl AAML 28 3 0 15 Nov 2022
Backdoor Attacks for Remote Sensing Data with Wavelet Transform Nikolaus Drager Yonghao Xu Pedram Ghamisi AAML 67 14 0 15 Nov 2022
The out-of-sample prediction error of the square-root-LASSO and related estimators J. M. Olea Cynthia Rush Amilcar Velez J. Wiesel OOD 96 6 0 14 Nov 2022
Butterfly Effect Attack: Tiny and Seemingly Unrelated Perturbations for Object Detection N. Doan Arda Yüksel Chih-Hong Cheng AAML 63 1 0 14 Nov 2022
On the robustness of non-intrusive speech quality model by adversarial examples Hsin-Yi Lin Huan-Hsin Tseng Yu Tsao AAML 61 3 0 11 Nov 2022
Robust DNN Surrogate Models with Uncertainty Quantification via Adversarial Training Lixiang Zhang Jia Li AAML 89 0 0 10 Nov 2022
Preserving Semantics in Textual Adversarial Attacks David Herel Hugo Cisneros Tomas Mikolov AAML 105 6 0 08 Nov 2022
Fairness-aware Regression Robust to Adversarial Attacks Yulu Jin Lifeng Lai FaML OOD 88 4 0 04 Nov 2022
An Adversarial Robustness Perspective on the Topology of Neural Networks Morgane Goibert Thomas Ricatte Elvis Dohmatob AAML 66 2 0 04 Nov 2022
AdaChain: A Learned Adaptive Blockchain Chenyuan Wu Bhavana Mehta Mohammad Javad Amiri Ryan Marcus B. T. Loo 52 14 0 03 Nov 2022
Generative Adversarial Training Can Improve Neural Language Models Sajad Movahedi A. Shakery GAN AI4CE 77 2 0 02 Nov 2022
LMD: A Learnable Mask Network to Detect Adversarial Examples for Speaker Verification Xingqi Chen Jie Wang Xiaoli Zhang Weiqiang Zhang Kunde Yang AAML 116 7 0 02 Nov 2022
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks Jianan Zhou Jianing Zhu Jingfeng Zhang Tongliang Liu Gang Niu Bo Han Masashi Sugiyama AAML 47 9 0 01 Nov 2022
SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability Dipkamal Bhusal Rosalyn Shin Ajay Ashok Shewale M. K. Veerabhadran Michael Clifford Sara Rampazzi Nidhi Rastogi FAtt AAML 92 5 0 31 Oct 2022
Scoring Black-Box Models for Adversarial Robustness Jian Vora Pranay Reddy Samala 70 0 0 31 Oct 2022
Symmetric Saliency-based Adversarial Attack To Speaker Identification Jiadi Yao Xing Chen Xiao-Lei Zhang Weiqiang Zhang Kunde Yang AAML 81 9 0 30 Oct 2022
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 67 15 0 27 Oct 2022
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting Peng-Fei Hou Jie Han Xingyu Li AAML OOD 49 11 0 26 Oct 2022
Robust Self-Supervised Learning with Lie Groups Mark Ibrahim Diane Bouchacourt Ari S. Morcos SSL OOD 78 6 0 24 Oct 2022
Ares: A System-Oriented Wargame Framework for Adversarial ML Farhan Ahmed Pratik Vaishnavi Kevin Eykholt Amir Rahmati AAML 75 7 0 24 Oct 2022
Revisiting Sparse Convolutional Model for Visual Recognition Xili Dai Mingyang Li Pengyuan Zhai Shengbang Tong Xingjian Gao Shao-Lun Huang Zhihui Zhu Chong You Yi Ma FAtt 89 30 0 24 Oct 2022