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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
Adversarial Prompt Distillation for Vision-Language Models Lin Luo Xin Wang Bojia Zi Shihao Zhao Xingjun Ma Yu-Gang Jiang AAML VLM 184 4 0 22 Nov 2024
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks Yong Xie Weijie Zheng Hanxun Huang Guangnan Ye Xingjun Ma AAML 170 1 0 20 Nov 2024
CDI: Copyrighted Data Identification in Diffusion Models Jan Dubiñski Antoni Kowalczuk Franziska Boenisch Adam Dziedzic 128 2 0 19 Nov 2024
Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods Egor Kovalev Georgii Bychkov Khaled Abud A. Gushchin Anna Chistyakova Sergey Lavrushkin D. Vatolin Anastasia Antsiferova AAML 177 2 0 18 Nov 2024
A Hard-Label Cryptanalytic Extraction of Non-Fully Connected Deep Neural Networks using Side-Channel Attacks Benoît Coqueret Mathieu Carbone Olivier Sentieys Gabriel Zaid AAML MLAU 95 0 0 15 Nov 2024
Transferable Adversarial Attacks against ASR Xiaoxue Gao Zexin Li Yiming Chen Cong Liu Haoyang Li AAML 62 1 0 14 Nov 2024
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning Bacui Li T. Alpcan Chandra Thapa Udaya Parampalli AAML 73 0 0 11 Nov 2024
Adversarial Detection with a Dynamically Stable System Xiaowei Long Jie Lin Xiangyuan Yang AAML 79 0 0 11 Nov 2024
A Survey of AI-Related Cyber Security Risks and Countermeasures in Mobility-as-a-Service Kai-Fung Chu Haiyue Yuan Jinsheng Yuan Weisi Guo Nazmiye Balta-Ozkan Shujun Li 80 3 0 08 Nov 2024
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging Rui Luo Jie Bao Zhixin Zhou Chuangyin Dang MedIm AAML 250 7 0 07 Nov 2024
Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models Saketh Bachu Erfan Shayegani Trishna Chakraborty Rohit Lal Arindam Dutta Chengyu Song Yue Dong Nael B. Abu-Ghazaleh Amit K. Roy-Chowdhury 75 0 0 06 Nov 2024
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training Junhao Dong Xinghua Qu Zhiyuan Wang Yew-Soon Ong AAML 96 1 0 05 Nov 2024
Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training Yuanqi Yao Gang Wu Kui Jiang Siao Liu Jian Kuai Xianming Liu Junjun Jiang MDE 95 1 0 04 Nov 2024
User-wise Perturbations for User Identity Protection in EEG-Based BCIs Xiaoqing Chen Siyang Li Yunlu Tu Ziwei Wang Dongrui Wu 71 2 0 04 Nov 2024
DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination Jia Fu Xiao Zhang Sepideh Pashami Fatemeh Rahimian Anders Holst DiffM AAML 87 0 0 31 Oct 2024
Keep on Swimming: Real Attackers Only Need Partial Knowledge of a Multi-Model System Julian Collado Kevin Stangl AAML 62 0 0 30 Oct 2024
Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity Abulikemu Abuduweili Changliu Liu 38 2 0 30 Oct 2024
One Prompt to Verify Your Models: Black-Box Text-to-Image Models Verification via Non-Transferable Adversarial Attacks Ji Guo Wenbo Jiang Rui Zhang Guoming Lu Hongwei Li AAML 162 0 0 30 Oct 2024
CausAdv: A Causal-based Framework for Detecting Adversarial Examples Hichem Debbi CML AAML 79 1 0 29 Oct 2024
Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks Zhengbo Zhou Degan Hao Dooman Arefan M. Zuley J. Sumkin Shandong Wu AAML 110 0 0 29 Oct 2024
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models Lu Yu Haiyang Zhang Changsheng Xu AAML VLM 106 7 0 29 Oct 2024
Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach Firas Bayram Bestoun S. Ahmed OOD 63 2 0 28 Oct 2024
Evaluating the Robustness of LiDAR Point Cloud Tracking Against Adversarial Attack Shengjing Tian Yinan Han Xiantong Zhao Bin Liu Xiuping Liu AAML 76 0 0 28 Oct 2024
Adversarial Attacks on Large Language Models Using Regularized Relaxation Samuel Jacob Chacko Sajib Biswas Chashi Mahiul Islam Fatema Tabassum Liza Xiuwen Liu AAML 87 3 0 24 Oct 2024
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost Cheng-Han Yeh Kuanchun Yu Chun-Shien Lu DiffM AAML 162 0 0 22 Oct 2024
Model Mimic Attack: Knowledge Distillation for Provably Transferable Adversarial Examples Kirill Lukyanov Andrew Perminov D. Turdakov Mikhail Pautov AAML 58 2 0 21 Oct 2024
S-CFE: Simple Counterfactual Explanations Shpresim Sadiku Moritz Wagner Sai Ganesh Nagarajan Sebastian Pokutta 145 1 0 21 Oct 2024
Dynamic Intelligence Assessment: Benchmarking LLMs on the Road to AGI with a Focus on Model Confidence Norbert Tihanyi Tamás Bisztray Richard A. Dubniczky Rebeka Tóth B. Borsos ... Ryan Marinelli Lucas C. Cordeiro Merouane Debbah Vasileios Mavroeidis Audun Josang 95 5 0 20 Oct 2024
Faster-GCG: Efficient Discrete Optimization Jailbreak Attacks against Aligned Large Language Models Xiao-Li Li Zhuhong Li Qiongxiu Li Bingze Lee Jinghao Cui Xiaolin Hu AAML 58 5 0 20 Oct 2024
SLIC: Secure Learned Image Codec through Compressed Domain Watermarking to Defend Image Manipulation Chen-Hsiu Huang Ja-Ling Wu 52 1 0 19 Oct 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 84 1 0 19 Oct 2024
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum Nashrah Haque Xiang Li Zhehui Chen Yanzhao Wu Lei Yu Arun Iyengar Wenqi Wei DiffM AAML 54 0 0 17 Oct 2024
Low-Rank Adversarial PGD Attack Dayana Savostianova Emanuele Zangrando Francesco Tudisco AAML 66 1 0 16 Oct 2024
Efficient Optimization Algorithms for Linear Adversarial Training Antônio H. Ribeiro Thomas B. Schon Dave Zahariah Francis Bach AAML 116 2 0 16 Oct 2024
Taking off the Rose-Tinted Glasses: A Critical Look at Adversarial ML Through the Lens of Evasion Attacks Kevin Eykholt Farhan Ahmed Pratik Vaishnavi Amir Rahmati AAML 99 0 0 15 Oct 2024
Automatically Generating Visual Hallucination Test Cases for Multimodal Large Language Models Zhongye Liu Hongbin Liu Yuepeng Hu Zedian Shao Neil Zhenqiang Gong VLM MLLM 51 0 0 15 Oct 2024
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors Tao Lin Lijia Yu Gaojie Jin Renjue Li Peng Wu Lijun Zhang AAML 110 1 0 14 Oct 2024
Embedding Self-Correction as an Inherent Ability in Large Language Models for Enhanced Mathematical Reasoning Kuofeng Gao Huanqia Cai Qingyao Shuai Dihong Gong Zhifeng Li LRM ReLM 122 1 0 14 Oct 2024
On the Adversarial Transferability of Generalized "Skip Connections" Yisen Wang Yichuan Mo Dongxian Wu Mingjie Li Xingjun Ma Zhouchen Lin AAML 72 2 0 11 Oct 2024
Natural Language Induced Adversarial Images Xiaopei Zhu Peiyang Xu Guanning Zeng Yingpeng Dong Xiaolin Hu AAML 77 2 0 11 Oct 2024
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data Binghui Li Yuanzhi Li OOD 96 4 0 11 Oct 2024
Adversarial Robustness Overestimation and Instability in TRADES Jonathan Weiping Li Ren-Wei Liang Cheng-Han Yeh Cheng-Chang Tsai Kuanchun Yu Chun-Shien Lu Shang-Tse Chen AAML 95 0 0 10 Oct 2024
Adversarial Vulnerability as a Consequence of On-Manifold Inseparibility Rajdeep Haldar Yue Xing Qifan Song Guang Lin 56 0 0 09 Oct 2024
Break the Visual Perception: Adversarial Attacks Targeting Encoded Visual Tokens of Large Vision-Language Models Yubo Wang Chaohu Liu Yanqiu Qu Haoyu Cao Deqiang Jiang Linli Xu MLLM AAML 56 3 0 09 Oct 2024
Robustness Reprogramming for Representation Learning Zhichao Hou MohamadAli Torkamani Hamid Krim Xiaorui Liu AAML OOD 81 1 0 06 Oct 2024
Impact of Regularization on Calibration and Robustness: from the Representation Space Perspective Jonghyun Park Juyeop Kim Jong-Seok Lee 81 1 0 05 Oct 2024
Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks Zi Wang Divyam Anshumaan Ashish Hooda Yudong Chen Somesh Jha AAML 98 0 0 05 Oct 2024
RAFT: Realistic Attacks to Fool Text Detectors James Wang Ran Li Junfeng Yang Chengzhi Mao AAML DeLMO 65 4 0 04 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 415 0 0 03 Oct 2024
Impact of White-Box Adversarial Attacks on Convolutional Neural Networks Rakesh Podder Sudipto Ghosh AAML 60 1 0 02 Oct 2024