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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
Compute-in-Memory based Neural Network Accelerators for Safety-Critical Systems: Worst-Case Scenarios and Protections Zheyu Yan X. Hu Yiyu Shi AAML 66 1 0 11 Dec 2023
A Practical Survey on Emerging Threats from AI-driven Voice Attacks: How Vulnerable are Commercial Voice Control Systems? Yuanda Wang Qiben Yan Nikolay Ivanov Xun Chen AAML 57 4 0 10 Dec 2023
Data-Free Hard-Label Robustness Stealing Attack Xiaojian Yuan Kejiang Chen Wen Huang Jie Zhang Weiming Zhang Neng H. Yu AAML 67 5 0 10 Dec 2023
Triplet Edge Attention for Algorithmic Reasoning Yeonjoon Jung Sungsoo Ahn GNN 68 2 0 09 Dec 2023
Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation Shiji Zhao Xizhe Wang Xingxing Wei 64 3 0 09 Dec 2023
Model Extraction Attacks Revisited Jiacheng Liang Ren Pang Changjiang Li Ting Wang MIACV MLAU 69 13 0 08 Dec 2023
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 122 0 0 08 Dec 2023
On The Fairness Impacts of Hardware Selection in Machine Learning Sree Harsha Nelaturu Nishaanth Kanna Ravichandran Cuong Tran Sara Hooker Ferdinando Fioretto 85 3 0 06 Dec 2023
Defense Against Adversarial Attacks using Convolutional Auto-Encoders Shreyasi Mandal AAML 47 1 0 06 Dec 2023
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks Xuanimng Cui Alejandro Aparcedo Young Kyun Jang Ser-Nam Lim AAML VLM 97 47 0 06 Dec 2023
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization Sina Baharlouei Shivam Patel Meisam Razaviyayn 129 4 0 06 Dec 2023
A Simple Framework to Enhance the Adversarial Robustness of Deep Learning-based Intrusion Detection System Xinwei Yuan Shu Han Wei Huang Hongliang Ye Xianglong Kong Fan Zhang AAML 82 23 0 06 Dec 2023
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 102 2 0 06 Dec 2023
Prompt Optimization via Adversarial In-Context Learning Do Xuan Long Yiran Zhao Hannah Brown Yuxi Xie James Xu Zhao Nancy F. Chen Kenji Kawaguchi Michael Qizhe Xie Junxian He 154 16 0 05 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
Singular Regularization with Information Bottleneck Improves Model's Adversarial Robustness Guanlin Li Naishan Zheng Man Zhou Jie Zhang Tianwei Zhang AAML 60 0 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
Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving Bo Yang Xiaoyu Ji Zizhi Jin Yushi Cheng Wei Dong 3DPC AAML 60 2 0 03 Dec 2023
Rethinking PGD Attack: Is Sign Function Necessary? Junjie Yang Tianlong Chen Xuxi Chen Zhangyang Wang Yingbin Liang AAML 105 1 0 03 Dec 2023
FRAUDability: Estimating Users' Susceptibility to Financial Fraud Using Adversarial Machine Learning Chen Doytshman Satoru Momiyama Inderjeet Singh Yuval Elovici A. Shabtai 39 1 0 02 Dec 2023
Strong Duality Relations in Nonconvex Risk-Constrained Learning Dionysis Kalogerias Spyridon Pougkakiotis 78 0 0 02 Dec 2023
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction Shuchi Wu Chuan Ma Kang Wei Xiaogang Xu Ming Ding Yuwen Qian Tao Xiang 62 0 0 01 Dec 2023
Fool the Hydra: Adversarial Attacks against Multi-view Object Detection Systems Bilel Tarchoun Quazi Mishkatul Alam Nael B. Abu-Ghazaleh Ihsen Alouani AAML 41 0 0 30 Nov 2023
On the Adversarial Robustness of Graph Contrastive Learning Methods Filippo Guerranti Zinuo Yi Anna Starovoit Rafiq Kamel Simon Geisler Stephan Günnemann AAML 134 2 0 29 Nov 2023
Topology-Preserving Adversarial Training Xiaoyue Mi Fan Tang Yepeng Weng Danding Wang Juan Cao Sheng Tang Peng Li Yang Liu 102 1 0 29 Nov 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
MMA-Diffusion: MultiModal Attack on Diffusion Models Yijun Yang Ruiyuan Gao Xiaosen Wang Tsung-Yi Ho Nan Xu Qiang Xu 99 77 0 29 Nov 2023
Group-wise Sparse and Explainable Adversarial Attacks Shpresim Sadiku Moritz Wagner Sebastian Pokutta AAML 47 1 0 29 Nov 2023
Vulnerability Analysis of Transformer-based Optical Character Recognition to Adversarial Attacks Lucas Beerens D. Higham 73 1 0 28 Nov 2023
A Unified Hardware-based Threat Detector for AI Accelerators Xiaobei Yan Han Qiu Tianwei Zhang 81 2 0 28 Nov 2023
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts Yichao Cai Yuhang Liu Zhen Zhang Javen Qinfeng Shi CLIP VLM 154 8 0 28 Nov 2023
Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence Svetlana Pavlitska Hannes Grolig J. Marius Zöllner AAML 138 3 0 27 Nov 2023
RetouchUAA: Unconstrained Adversarial Attack via Image Retouching Mengda Xie Yiling He Meie Fang AAML 73 1 0 27 Nov 2023
Instruct2Attack: Language-Guided Semantic Adversarial Attacks Jiang-Long Liu Chen Wei Yuxiang Guo Heng Yu Alan Yuille Soheil Feizi Chun Pong Lau Rama Chellappa DiffM AAML 98 7 0 27 Nov 2023
Adversarial Purification of Information Masking Sitong Liu Z. Lian Shuangquan Zhang Liang Xiao AAML 76 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
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence Benoît Coqueret Mathieu Carbone Olivier Sentieys Gabriel Zaid 93 2 0 23 Nov 2023
Adversarial defense based on distribution transfer Jiahao Chen Diqun Yan Li Dong 80 0 0 23 Nov 2023
Security and Privacy Challenges in Deep Learning Models Gopichandh Golla AAML SILM MIACV 45 1 0 23 Nov 2023
A Survey of Adversarial CAPTCHAs on its History, Classification and Generation Zisheng Xu Qiao Yan Fei Yu Victor C.M. Leung AAML 89 1 0 22 Nov 2023
AdvGen: Physical Adversarial Attack on Face Presentation Attack Detection Systems Sai Amrit Patnaik Shivali Chansoriya Anil K. Jain A. Namboodiri AAML GAN 89 0 0 20 Nov 2023
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches Nandish Chattopadhyay Amira Guesmi Muhammad Abdullah Hanif B. Ouni Mohamed Bennai OODD 97 3 0 20 Nov 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 142 3 0 20 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
PACOL: Poisoning Attacks Against Continual Learners Huayu Li G. Ditzler AAML 58 3 0 18 Nov 2023
Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts Shashank Kotyan Danilo Vasconcellos Vargas AAML 40 0 0 16 Nov 2023
Interpretable Reinforcement Learning for Robotics and Continuous Control Rohan R. Paleja Letian Chen Yaru Niu Andrew Silva Zhaoxin Li ... K. Chang H. E. Tseng Yan Wang S. Nageshrao Matthew C. Gombolay 78 7 0 16 Nov 2023
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing Ashutosh Nirala Ameya Joshi Chinmay Hegde S Sarkar VLM 81 0 0 15 Nov 2023
Finding AI-Generated Faces in the Wild Gonzalo J. Aniano Porcile Jack Gindi Shivansh Mundra J. Verbus Hany Farid CVBM 81 7 0 14 Nov 2023
Physical Adversarial Examples for Multi-Camera Systems Ana Ruaductoiu Jan-Philipp Schulze Philip Sperl Konstantin Böttinger AAML 76 1 0 14 Nov 2023