Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

50 / 1,401 papers shown

Title
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP Hanxun Huang Sarah Monazam Erfani Yige Li Xingjun Ma James Bailey AAML 44 0 0 08 May 2025
Crafting Physical Adversarial Examples by Combining Differentiable and Physically Based Renders Yuqiu Liu Huanqian Yan Xiaopei Zhu Xiaolin Hu L. Tang Hang Su Chen Lv 29 0 0 07 May 2025
Data-Driven Falsification of Cyber-Physical Systems Atanu Kundu Sauvik Gon Rajarshi Ray AAML AI4CE 41 3 0 06 May 2025
Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems Abdul Mustafa Muhammad Talha Khan Muhammad Azmi Umer Zaki Masood Chuadhry Mujeeb Ahmed AAML 46 0 0 06 May 2025
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey Shashank Kapoor Sanjay Surendranath Girija Lakshit Arora Dipen Pradhan Ankit Shetgaonkar Aman Raj AAML 74 0 0 06 May 2025
Lightweight Defense Against Adversarial Attacks in Time Series Classification Yi Han AAML 40 0 0 04 May 2025
Adaptive Branch-and-Bound Tree Exploration for Neural Network Verification Kota Fukuda Guanqin Zhang Zhenya Zhang Yulei Sui Jianjun Zhao 45 0 0 02 May 2025
Constrained Network Adversarial Attacks: Validity, Robustness, and Transferability Anass Grini Oumaima Taheri Btissam El Khamlichi Amal El Fallah-Seghrouchni AAML 47 0 0 02 May 2025
Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search Nuojin Cheng Alireza Doostan Stephen Becker 39 0 0 30 Apr 2025
Active Light Modulation to Counter Manipulation of Speech Visual Content Hadleigh Schwartz Xiaofeng Yan Charles J. Carver Xia Zhou 68 0 0 30 Apr 2025
FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection Shiwen Song Xiaofei Xie Ruitao Feng Qi Guo Sen Chen AAML 45 0 0 28 Apr 2025
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift Jiamin Chang Hao Li Hammond Pearce Ruoxi Sun Bo-wen Li Minhui Xue 38 0 0 28 Apr 2025
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers Elad Sofer Tomer Shaked Caroline Chaux Nir Shlezinger AAML 45 0 0 26 Apr 2025
Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing Vlad Vasilescu Ana Neacsu Daniela Faur ViT 29 0 0 24 Apr 2025
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Georgios Papadopoulos Shaltiel Eloul Yash Satsangi Jamie Heredge Niraj Kumar Chun-Fu Chen Marco Pistoia 51 0 0 17 Apr 2025
Human Aligned Compression for Robust Models Samuel Räber Andreas Plesner Till Aczél Roger Wattenhofer AAML 39 0 0 16 Apr 2025
RDI: An adversarial robustness evaluation metric for deep neural networks based on sample clustering features Jialei Song Xingquan Zuo Feiyang Wang Hai Huang Tianle Zhang AAML 83 0 0 16 Apr 2025
Adversarial Training of Reward Models Alexander Bukharin Haifeng Qian Shengyang Sun Adithya Renduchintala Soumye Singhal Zhilin Wang Oleksii Kuchaiev Olivier Delalleau T. Zhao AAML 32 0 0 08 Apr 2025
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models Yoojin Jung Byung Cheol Song AAML VLM MQ 36 0 0 07 Apr 2025
On the Robustness of GUI Grounding Models Against Image Attacks Haoren Zhao Tianyi Chen Zhen Wang AAML 36 1 0 07 Apr 2025
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions Giulia Marchiori Pietrosanti Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 84 0 0 02 Apr 2025
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios Jingzheng Li X. Liu Shikui Wei Zhijun Chen Yangqiu Song Qing-Wu Guo Xianqi Yang Yanjun Pu Jiakai Wang AAML ELM 74 0 0 31 Mar 2025
GSBA $^K$ : $top$ - $K$ Geometric Score-based Black-box Attack Md. Farhamdur Reza Richeng Jin Tianfu Wu H. Dai AAML 47 0 0 17 Mar 2025
Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data Lilin Zhang Chengpei Wu Ning Yang 39 0 0 14 Mar 2025
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks Jin Li Ziqiang He Anwei Luo Jian-Fang Hu Zhong Wang Xiangui Kang DiffM 66 0 0 12 Mar 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 185 0 0 09 Mar 2025
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions Wang YuHang Junkang Guo Aolei Liu Kaihao Wang Zaitong Wu Zhenyu Liu Wenfei Yin Jian Liu AAML 50 0 0 02 Mar 2025
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior Chanhui Lee Yeonghwan Song Jeany Son AAML 144 0 0 28 Feb 2025
Single-pass Detection of Jailbreaking Input in Large Language Models Leyla Naz Candogan Yongtao Wu Elias Abad Rocamora Grigorios G. Chrysos V. Cevher AAML 51 0 0 24 Feb 2025
Adversarial Prompt Evaluation: Systematic Benchmarking of Guardrails Against Prompt Input Attacks on LLMs Giulio Zizzo Giandomenico Cornacchia Kieran Fraser Muhammad Zaid Hameed Ambrish Rawat Beat Buesser Mark Purcell Pin-Yu Chen P. Sattigeri Kush R. Varshney AAML 43 2 0 24 Feb 2025
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks Yue Gao Ilia Shumailov Kassem Fawaz AAML 145 0 0 21 Feb 2025
Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training Fenghua Weng Jian Lou Jun Feng Minlie Huang Wenjie Wang AAML 72 2 0 17 Feb 2025
Detecting APT Malware Command and Control over HTTP(S) Using Contextual Summaries Almuthanna Alageel Sergio Maffeis Imperial College London 41 2 0 07 Feb 2025
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization Yixiao Chen Shikun Sun Jianshu Li Ruoyu Li Zhe Li Junliang Xing AAML 109 0 0 04 Feb 2025
UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning Oubo Ma L. Du Yang Dai Chunyi Zhou Qingming Li Yuwen Pu Shouling Ji 46 0 0 28 Jan 2025
On the Adversarial Vulnerabilities of Transfer Learning in Remote Sensing Tao Bai Xingjian Tian Yonghao Xu B. Wen AAML 43 0 0 20 Jan 2025
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers Matan Ben-Tov Daniel Deutch Nave Frost Mahmood Sharif AAML 107 0 0 20 Jan 2025
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework Ping Guo Cheng Gong Xi Lin Fei Liu Zhichao Lu Qingfu Zhang Zhenkun Wang AAML 45 0 0 13 Jan 2025
Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities Jialin Wu Kaikai Pan Yanjiao Chen Jiangyi Deng Shengyuan Pang Wenyuan Xu ViT AAML 43 0 0 13 Jan 2025
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50 Umesh Yadav Suman Niraula Gaurav Kumar Gupta Bicky Yadav SILM 42 0 0 04 Jan 2025
ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Sipeng Shen Yunming Zhang Dengpan Ye Xiuwen Shi Long Tang Haoran Duan Jiacheng Deng Ziyi Liu AAML PICV 84 0 0 31 Dec 2024
Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability Hui Zeng Sanshuai Cui Biwei Chen Anjie Peng AAML 39 0 0 31 Dec 2024
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification Chunheng Zhao P. Pisu G. Comert N. Begashaw Varghese Vaidyan Nina Christine Hubig AAML 32 0 0 31 Dec 2024
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness Olukorede Fakorede Modeste Atsague Jin Tian AAML 39 0 0 31 Dec 2024
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification Changchang Sun Ren Wang Yihua Zhang Jinghan Jia Jiancheng Liu Gaowen Liu Sijia Liu Yan Yan AAML MU 93 0 0 21 Dec 2024
Adversarial Hubness in Multi-Modal Retrieval Tingwei Zhang Fnu Suya Rishi Jha Collin Zhang Vitaly Shmatikov AAML 83 1 0 18 Dec 2024
PGD-Imp: Rethinking and Unleashing Potential of Classic PGD with Dual Strategies for Imperceptible Adversarial Attacks Jin Li Zitong Yu Ziqiang He Zhong Wang Xiangui Kang AAML 84 0 0 15 Dec 2024
DiffPatch: Generating Customizable Adversarial Patches using Diffusion Models Zhixiang Wang Guangnan Ye Xinyu Wang Siheng Chen Zhilin Wang Xingjun Ma Yu-Gang Jiang AAML DiffM 93 0 0 02 Dec 2024
Fall Leaf Adversarial Attack on Traffic Sign Classification Anthony Etim Jakub Szefer AAML 73 3 0 27 Nov 2024
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing Hanhui Wang Yihua Zhang Ruizheng Bai Yue Zhao Sijia Liu Z. Tu AAML PICV 98 2 0 25 Nov 2024