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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
Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency Hallgrimur Thorsteinsson Valdemar J Henriksen Tong Chen Raghavendra Selvan AAML 85 1 0 14 Mar 2024
Attacking Transformers with Feature Diversity Adversarial Perturbation Chenxing Gao Hang Zhou Junqing Yu Yuteng Ye Jiale Cai Junle Wang Wei Yang AAML 85 3 0 10 Mar 2024
ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes H. Malik Muhammad Huzaifa Muzammal Naseer Salman Khan Fahad Shahbaz Khan DiffM 118 2 0 07 Mar 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
Catastrophic Overfitting: A Potential Blessing in Disguise Mengnan Zhao Lihe Zhang Yuqiu Kong Baocai Yin AAML 85 1 0 28 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
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
Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion Yichi Zhang Zhuo Chen Lei Liang Hua-zeng Chen Wen Zhang 97 7 0 22 Feb 2024
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training L. Park Jaeuk Kim Myung Gyo Oh Jaewoo Park T.-H. Kwon AAML 136 5 0 19 Feb 2024
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization Jiyao Li Mingze Ni Yifei Dong Tianqing Zhu Wei Liu AAML 43 3 0 19 Feb 2024
Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvement Chi Zhang Jingjing Fan Man Ho Au Siu-Ming Yiu 107 1 0 17 Feb 2024
Adversarially Robust Feature Learning for Breast Cancer Diagnosis Degan Hao Dooman Arefan M. Zuley Wendie Berg Shandong Wu OOD MedIm 68 1 0 13 Feb 2024
Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensemble Yunzhe Xue Usman Roshan AAML 69 0 0 12 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 94 6 0 11 Feb 2024
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping Qinliang Lin Cheng Luo Zenghao Niu Xilin He Weicheng Xie Yuanbo Hou Linlin Shen Siyang Song AAML 103 13 0 06 Feb 2024
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance Ted Fujimoto Joshua Suetterlein Samrat Chatterjee A. Ganguly OffRL 86 4 0 05 Feb 2024
Arabic Synonym BERT-based Adversarial Examples for Text Classification Norah M. Alshahrani Saied Alshahrani Esma Wali Jeanna Neefe Matthews AAML 65 6 0 05 Feb 2024
Transcending Adversarial Perturbations: Manifold-Aided Adversarial Examples with Legitimate Semantics Shuai Li Xiaoyu Jiang Xiaoguang Ma AAML 81 0 0 05 Feb 2024
Unlearnable Examples For Time Series Yujing Jiang Xingjun Ma S. Erfani James Bailey AI4TS 95 1 0 03 Feb 2024
LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection Jiwei Tian Chao Shen Buhong Wang Xiaofang Xia Meng Zhang Chenhao Lin Qian Li 73 44 0 29 Jan 2024
Intriguing Equivalence Structures of the Embedding Space of Vision Transformers Shaeke Salman M. Shams Xiuwen Liu 95 6 0 28 Jan 2024
Set-Based Training for Neural Network Verification Lukas Koller Tobias Ladner Matthias Althoff AAML 116 2 0 26 Jan 2024
Friendly Attacks to Improve Channel Coding Reliability Anastasia Kurmukova Deniz Gunduz AAML 91 2 0 25 Jan 2024
Fast Nonlinear Two-Time-Scale Stochastic Approximation: Achieving $O(1/k)$ Finite-Sample Complexity Thinh T. Doan 104 7 0 23 Jan 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 102 3 0 22 Jan 2024
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks Ping Guo Xiang Li Zhiyuan Yang Xi Lin Qingchuan Zhao Qingfu Zhang AAML 107 4 0 19 Jan 2024
Hacking Predictors Means Hacking Cars: Using Sensitivity Analysis to Identify Trajectory Prediction Vulnerabilities for Autonomous Driving Security Marsalis T. Gibson David Babazadeh Claire Tomlin S. Shankar Sastry AAML 111 0 0 18 Jan 2024
Left-right Discrepancy for Adversarial Attack on Stereo Networks Pengfei Wang Xiaofei Hui Beijia Lu Nimrod Lilith Jun Liu Sameer Alam AAML 98 2 0 14 Jan 2024
Concept Alignment Sunayana Rane Polyphony J. Bruna Ilia Sucholutsky Christopher Kello Thomas Griffiths CVBM 69 8 0 09 Jan 2024
A Random Ensemble of Encrypted models for Enhancing Robustness against Adversarial Examples Ryota Iijima Sayaka Shiota Hitoshi Kiya AAML 46 0 0 05 Jan 2024
FullLoRA: Efficiently Boosting the Robustness of Pretrained Vision Transformers Zheng Yuan Jie Zhang Shiguang Shan Xilin Chen 110 4 0 03 Jan 2024
How Smooth Is Attention? Valérie Castin Pierre Ablin Gabriel Peyré AAML 109 11 0 22 Dec 2023
Trust, But Verify: A Survey of Randomized Smoothing Techniques Anupriya Kumari Devansh Bhardwaj Sukrit Jindal Sarthak Gupta AAML 88 4 0 19 Dec 2023
The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations Zebin Yun Achi-Or Weingarten Eyal Ronen Mahmood Sharif 64 2 0 18 Dec 2023
Fragility, Robustness and Antifragility in Deep Learning Chandresh Pravin Ivan Martino Giuseppe Nicosia Varun Ojha 83 0 0 15 Dec 2023
Embodied Adversarial Attack: A Dynamic Robust Physical Attack in Autonomous Driving Yitong Sun Yao Huang Xingxing Wei AAML 63 1 0 15 Dec 2023
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 166 4 0 15 Dec 2023
Scalable Ensemble-based Detection Method against Adversarial Attacks for speaker verification Haibin Wu Heng-Cheng Kuo Yu Tsao Hung-yi Lee AAML 62 2 0 14 Dec 2023
An adversarial attack approach for eXplainable AI evaluation on deepfake detection models Balachandar Gowrisankar V. Thing AAML 72 12 0 08 Dec 2023
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation Bangyan He Xiaojun Jia Siyuan Liang Tianrui Lou Yang Liu Xiaochun Cao AAML VLM 113 29 0 08 Dec 2023
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models Xunguang Wang Zhenlan Ji Pingchuan Ma Zongjie Li Shuai Wang MLLM 96 14 0 04 Dec 2023
Adversarial Medical Image with Hierarchical Feature Hiding Qingsong Yao Zecheng He Yuexiang Li Yi Lin Kai Ma Yefeng Zheng S. Kevin Zhou MedIm AAML 166 5 0 04 Dec 2023
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context Shashank Agnihotri Julia Grabinski Margret Keuper 91 6 0 29 Nov 2023
Quantum Neural Networks under Depolarization Noise: Exploring White-Box Attacks and Defenses David Winderl Nicola Franco J. M. Lorenz AAML 93 7 0 29 Nov 2023
ASI: Accuracy-Stability Index for Evaluating Deep Learning Models Wei Dai Daniel Berleant 43 0 0 26 Nov 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 92 2 0 26 Nov 2023
Trainwreck: A damaging adversarial attack on image classifiers Jan Zahálka 103 1 0 24 Nov 2023
Boost Adversarial Transferability by Uniform Scale and Mix Mask Method Tao Wang Zijian Ying Qianmu Li Zhichao Lian AAML 115 6 0 18 Nov 2023
Improving Adversarial Transferability by Stable Diffusion Jiayang Liu Siyu Zhu Siyuan Liang Jie Zhang Han Fang Weiming Zhang Ee-Chien Chang AAML DiffM 75 12 0 18 Nov 2023
Towards Robust and Accurate Visual Prompting Qi Li Liangzhi Li Zhouqiang Jiang Bowen Wang VPVLM VLM 64 3 0 18 Nov 2023