Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

50 / 530 papers shown

Title
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 E. Choi 30 1 0 03 Aug 2023
Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness Ruoxi Qin Linyuan Wang Xuehui Du Xing-yuan Chen Binghai Yan AAML 26 0 0 01 Aug 2023
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack HaiXiang Zhu Zhaoqing Yang Weiwei Shang Yuren Wu AAML FAtt 10 3 0 01 Aug 2023
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models Erfan Shayegani Yue Dong Nael B. Abu-Ghazaleh 41 127 0 26 Jul 2023
Towards Building More Robust Models with Frequency Bias Qingwen Bu Dong Huang Heming Cui AAML 17 10 0 19 Jul 2023
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness Jovita Lukasik Michael Moeller M. Keuper 30 1 0 18 Jul 2023
Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation Asif Hanif Muzammal Naseer Salman Khan M. Shah F. Khan AAML OOD 38 3 0 14 Jul 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning Byung-Kwan Lee Junho Kim Yonghyun Ro AAML 18 9 0 14 Jul 2023
Enhancing Adversarial Robustness via Score-Based Optimization Boya Zhang Weijian Luo Zhihua Zhang DiffM 29 12 0 10 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 31 7 0 01 Jul 2023
Group-based Robustness: A General Framework for Customized Robustness in the Real World Weiran Lin Keane Lucas Neo Eyal Lujo Bauer Michael K. Reiter Mahmood Sharif OOD AAML 27 1 0 29 Jun 2023
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation Kira Maag Asja Fischer AAML UQCV 21 4 0 22 May 2023
Efficient ConvBN Blocks for Transfer Learning and Beyond Kaichao You Guo Qin Anchang Bao Mengsi Cao Ping-Chia Huang Jiulong Shan Mingsheng Long 31 1 0 19 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 37 50 0 18 May 2023
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend Chong Yu Tao Chen Zhongxue Gan AAML 15 1 0 18 May 2023
Noise robust neural network architecture Yunuo Xiong Hongwei Xiong 14 1 0 16 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning Dayuan Chen Jian Zhang Yuqian Lv Jinhuan Wang Hongjie Ni Shanqing Yu Zhen Wang Qi Xuan AAML 23 3 0 04 May 2023
Uncertainty-Aware Vehicle Energy Efficiency Prediction using an Ensemble of Neural Networks Jihed Khiari Cristina Olaverri-Monreal 19 1 0 14 Apr 2023
Exploring the Connection between Robust and Generative Models Senad Beadini I. Masi AAML 29 1 0 08 Apr 2023
Provable Robustness for Streaming Models with a Sliding Window Aounon Kumar Vinu Sankar Sadasivan S. Feizi OOD AAML AI4TS 16 1 0 28 Mar 2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks Huanran Chen Yichi Zhang Yinpeng Dong Xiao Yang Hang Su Junyi Zhu AAML 28 56 0 16 Mar 2023
AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+ Tianlin Li Ying Wang Ziwei Xuan Guo-Jun Qi ViT 42 3 0 14 Mar 2023
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples Jinwei Wang Hao Wu Haihua Wang Jiawei Zhang X. Luo Bin Ma AAML 23 0 0 08 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang X. Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 33 72 0 28 Feb 2023
Interpretable Spectrum Transformation Attacks to Speaker Recognition Jiadi Yao H. Luo Xiao-Lei Zhang AAML 26 1 0 21 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 27 35 0 10 Feb 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks Salah Ghamizi Jingfeng Zhang Maxime Cordy Mike Papadakis Masashi Sugiyama Yves Le Traon AAML 28 2 0 06 Feb 2023
Human-Imperceptible Identification with Learnable Lensless Imaging Thuong Nguyen Canh Trung Thanh Ngo Hajime Nagahara 27 4 0 04 Feb 2023
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks Shashank Agnihotri Steffen Jung M. Keuper AAML 37 21 0 04 Feb 2023
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels Simone Bombari Shayan Kiyani Marco Mondelli AAML 36 10 0 03 Feb 2023
Identifying Adversarially Attackable and Robust Samples Vyas Raina Mark J. F. Gales AAML 25 3 0 30 Jan 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 33 18 0 29 Jan 2023
Mitigating Adversarial Effects of False Data Injection Attacks in Power Grid Farhin Farhad Riya Shahinul Hoque Jinyuan Stella Sun Jiangnan Li Hairong Qi Hairong Qi AAML AI4CE 41 0 0 29 Jan 2023
Meta Generative Attack on Person Reidentification M. I. A V Subramanyam AAML 28 8 0 16 Jan 2023
Phase-shifted Adversarial Training Yeachan Kim Seongyeon Kim Ihyeok Seo Bonggun Shin AAML OOD 24 0 0 12 Jan 2023
Beckman Defense A. V. Subramanyam OOD AAML 37 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 36 15 0 01 Jan 2023
Learning When to Use Adaptive Adversarial Image Perturbations against Autonomous Vehicles Hyung-Jin Yoon H. Jafarnejadsani P. Voulgaris AAML 11 5 0 28 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 11 2 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 41 5 0 13 Dec 2022
Adversarially Robust Video Perception by Seeing Motion Lingyu Zhang Chengzhi Mao Junfeng Yang Carl Vondrick VGen AAML 44 2 0 13 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 24 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 42 10 0 01 Dec 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 22 33 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 26 27 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 28 17 0 20 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 22 3 0 15 Nov 2022
Backdoor Attacks for Remote Sensing Data with Wavelet Transform Nikolaus Drager Yonghao Xu Pedram Ghamisi AAML 23 13 0 15 Nov 2022
On the robustness of non-intrusive speech quality model by adversarial examples Hsin-Yi Lin H. Tseng Yu Tsao AAML 25 3 0 11 Nov 2022
Preserving Semantics in Textual Adversarial Attacks David Herel Hugo Cisneros Tomáš Mikolov AAML 35 6 0 08 Nov 2022