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Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

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Title
Social Media Authentication and Combating Deepfakes using Semi-fragile Invisible Image Watermarking Aakash Varma Nadimpalli A. Rattani AAML WIGM 84 2 0 02 Oct 2024
On Using Certified Training towards Empirical Robustness Alessandro De Palma Serge Durand Zakaria Chihani François Terrier Caterina Urban OOD AAML 114 1 0 02 Oct 2024
Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles Amira Guesmi Mohamed Bennai AAML 120 1 0 30 Sep 2024
Discerning the Chaos: Detecting Adversarial Perturbations while Disentangling Intentional from Unintentional Noises Anubhooti Jain Susim Roy Kwanit Gupta Mayank Vatsa Richa Singh AAML 85 0 0 29 Sep 2024
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects Sabrine Ennaji Fabio De Gaspari Dorjan Hitaj Alicia Kbidi Luigi V. Mancini AAML 99 0 0 27 Sep 2024
Cross-Modality Attack Boosted by Gradient-Evolutionary Multiform Optimization Yunpeng Gong Qingyuan Zeng Dejun Xu Zhenzhong Wang Min Jiang AAML 58 8 0 26 Sep 2024
Improving Fast Adversarial Training via Self-Knowledge Guidance Chengze Jiang Junkai Wang Minjing Dong Jie Gui Xinli Shi Yuan Cao Yuan Yan Tang James Tin-Yau Kwok 105 1 0 26 Sep 2024
Showing Many Labels in Multi-label Classification Models: An Empirical Study of Adversarial Examples Yujiang Liu Wenjian Luo Zhijian Chen Muhammad Luqman Naseem AAML 27 0 0 26 Sep 2024
Proactive Schemes: A Survey of Adversarial Attacks for Social Good Vishal Asnani Xi Yin Xiaoming Liu AAML 143 1 0 24 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
Dormant: Defending against Pose-driven Human Image Animation Jiachen Zhou Mingsi Wang Tianlin Li Guozhu Meng Kai Chen 160 5 0 22 Sep 2024
Cloud Adversarial Example Generation for Remote Sensing Image Classification Fei Ma Yuqiang Feng Fan Zhang Yongsheng Zhou DiffM AAML 67 3 0 21 Sep 2024
ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer Shihua Sun Kenechukwu Nwodo Shridatt Sugrim Angelos Stavrou Haining Wang AAML 87 1 0 20 Sep 2024
Hidden Activations Are Not Enough: A General Approach to Neural Network Predictions Samuel Leblanc Aiky Rasolomanana Marco Armenta 74 0 0 20 Sep 2024
ID-Guard: A Universal Framework for Combating Facial Manipulation via Breaking Identification Zuomin Qu Wei Lu Xiangyang Luo Qian Wang Xiaochun Cao AAML PICV 164 1 0 20 Sep 2024
TEAM: Temporal Adversarial Examples Attack Model against Network Intrusion Detection System Applied to RNN Ziyi Liu Dengpan Ye Long Tang Yunming Zhang Yueyun Shang AI4TS AAML 36 1 0 19 Sep 2024
ITPatch: An Invisible and Triggered Physical Adversarial Patch against Traffic Sign Recognition Shuai Yuan Hongwei Li Xingshuo Han Guowen Xu Wenbo Jiang Tao Ni Qingchuan Zhao Yuguang Fang 77 4 0 19 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
Hard-Label Cryptanalytic Extraction of Neural Network Models Yi Chen Xiaoyang Dong Jian Guo Yantian Shen Anyu Wang Xiaoyun Wang AAML MIACV MLAU 136 2 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
Speaker Contrastive Learning for Source Speaker Tracing Qing Wang Hongmei Guo Jian Kang Mengjie Du Jie Li Xiao-Lei Zhang Lei Xie 114 0 0 16 Sep 2024
Towards Physically Realizable Adversarial Attacks in Embodied Vision Navigation Meng Chen Jiawei Tu Chao Qi Yonghao Dang F. Zhou Wei Wei Jianqin Yin AAML 98 1 0 16 Sep 2024
Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective Ningfei Wang Shaoyuan Xie Takami Sato Yunpeng Luo Kaidi Xu Qi Alfred Chen AAML 69 1 0 15 Sep 2024
Real-world Adversarial Defense against Patch Attacks based on Diffusion Model Xingxing Wei Caixin Kang Yinpeng Dong Ziyi Wang Shouwei Ruan Yubo Chen Hang Su AAML DiffM 73 3 0 14 Sep 2024
XSub: Explanation-Driven Adversarial Attack against Blackbox Classifiers via Feature Substitution Kiana Vu Phung Lai Truc D. T. Nguyen AAML 74 0 0 13 Sep 2024
A Cost-Aware Approach to Adversarial Robustness in Neural Networks Charles Meyers Mohammad Reza Saleh Sedghpour Tommy Löfstedt Erik Elmroth OOD AAML 71 0 0 11 Sep 2024
Optimizing Neural Network Performance and Interpretability with Diophantine Equation Encoding Ronald Katende 76 0 0 11 Sep 2024
Unrevealed Threats: A Comprehensive Study of the Adversarial Robustness of Underwater Image Enhancement Models Siyu Zhai Zhibo He Xiaofeng Cong Junming Hou Jie Gui Jian Wei You Xin Gong James Tin-Yau Kwok Yuan Yan Tang AAML 61 0 0 10 Sep 2024
Input Space Mode Connectivity in Deep Neural Networks Jakub Vrabel Ori Shem-Ur Yaron Oz David Krueger 112 1 0 09 Sep 2024
PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions Yudong Zhang Ruobing Xie Jiansheng Chen Xingwu Sun Yu Wang AAML 66 3 0 08 Sep 2024
Natias: Neuron Attribution based Transferable Image Adversarial Steganography Zexin Fan Kejiang Chen Kai Zeng Jiansong Zhang Weiming Zhang Nenghai Yu AAML 29 3 0 08 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
Secure Traffic Sign Recognition: An Attention-Enabled Universal Image Inpainting Mechanism against Light Patch Attacks Hangcheng Cao Longzhi Yuan Guowen Xu Ziyang He Zhengru Fang Yuguang Fang AAML 69 5 0 06 Sep 2024
Learning to Learn Transferable Generative Attack for Person Re-Identification Yuan Bian Min Liu Xueping Wang Yunfeng Ma Yaonan Wang AAML OOD 163 1 0 06 Sep 2024
Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG Manshan Guo Bhavin Choksi Sari Saba-Sadiya A. T. Gifford Martina G. Vilas Radoslaw Martin Cichy Gemma Roig AAML 73 0 0 05 Sep 2024
A practical approach to evaluating the adversarial distance for machine learning classifiers Georg Siedel Ekagra Gupta Andrey Morozov AAML 66 0 0 05 Sep 2024
Recent Advances in Attack and Defense Approaches of Large Language Models Jing Cui Yishi Xu Zhewei Huang Shuchang Zhou Jianbin Jiao Junge Zhang PILM AAML 133 2 0 05 Sep 2024
Active Fake: DeepFake Camouflage Pu Sun Honggang Qi Yuezun Li PICV 136 0 0 05 Sep 2024
Dynamic Guidance Adversarial Distillation with Enhanced Teacher Knowledge Hyejin Park Dongbo Min AAML 87 3 0 03 Sep 2024
Probabilistic Iterative Hard Thresholding for Sparse Learning Matteo Bergamaschi Andrea Cristofari Vyacheslav Kungurtsev Francesco Rinaldi 23 0 0 02 Sep 2024
One-Index Vector Quantization Based Adversarial Attack on Image Classification Haiju Fan Xiaona Qin Shuang Chen Hubert P. H. Shum Ming Li 56 0 0 02 Sep 2024
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models Hossein Khalili Seongbin Park Vincent Li Brandan Bright Ali Payani Ramana Rao Kompella Nader Sehatbakhsh AAML 72 1 0 31 Aug 2024
Evaluating Model Robustness Using Adaptive Sparse L0 Regularization Weiyou Liu Zhenyang Li Weitong Chen AAML 100 1 0 28 Aug 2024
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective Tal Alter Raz Lapid Moshe Sipper AAML 113 6 0 25 Aug 2024
Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approach Jiwei Guan Tianyu Ding Longbing Cao Lei Pan Chen Wang Xi Zheng AAML 128 2 0 24 Aug 2024
Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks Zhenyu Liu Haoran Duan Huizhi Liang Yang Long V. Snás̃el G. Nicosia R. Ranjan Varun Ojha AAML 69 1 0 23 Aug 2024
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing Zhibo Jin Jiayu Zhang Zhiyu Zhu Chenyu Zhang Jiahao Huang Jianlong Zhou Fang Chen AAML 109 0 0 22 Aug 2024
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks Zhibo Jin Jiayu Zhang Zhiyu Zhu Xinyi Wang Yiyun Huang Huaming Chen AAML 81 1 0 22 Aug 2024
Assessing the Uncertainty and Robustness of the Laptop Refurbishing Software Chengjie Lu Jiahui Wu Shaukat Ali Mikkel Labori Olsen UQCV 64 3 0 22 Aug 2024
Correlation Analysis of Adversarial Attack in Time Series Classification Zhengyang Li Wenhao Liang Chang Dong Weitong Chen Dong Huang AAML 70 0 0 21 Aug 2024