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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
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples Antonio Emanuele Cinà Jérôme Rony Maura Pintor Christian Scano Ambra Demontis Battista Biggio Ismail Ben Ayed Fabio Roli ELM AAML SILM 135 10 0 30 Apr 2024
Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research Daniel Gibert AAML 62 1 0 29 Apr 2024
Exploring the Robustness of In-Context Learning with Noisy Labels Chen Cheng Xinzhi Yu Haodong Wen Jinsong Sun Guanzhang Yue Yihao Zhang Zeming Wei NoLa 61 8 0 28 Apr 2024
Adversarial Examples: Generation Proposal in the Context of Facial Recognition Systems Marina Fuster Ignacio Vidaurreta AAML GAN CVBM 29 0 0 27 Apr 2024
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks Yunzhen Feng Tim G. J. Rudner Nikolaos Tsilivis Julia Kempe AAML BDL 126 2 0 27 Apr 2024
Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs Valeriia Cherepanova James Zou AAML 102 6 0 26 Apr 2024
Don't Say No: Jailbreaking LLM by Suppressing Refusal Yukai Zhou Jian Lou Zhijie Huang Zhan Qin Yibei Yang Wenjie Wang AAML 116 19 0 25 Apr 2024
MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception Vidit Khazanchi Pavan Kulkarni Yuvaraj Govindarajulu Manojkumar Somabhai Parmar AAML 72 1 0 24 Apr 2024
Interval Abstractions for Robust Counterfactual Explanations Junqi Jiang Francesco Leofante Antonio Rago Francesca Toni 62 1 0 21 Apr 2024
Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion Markus Frey Sichu Liang Wentao Hu Matthias Nau Ju Jia Shilin Wang AAML 89 4 0 21 Apr 2024
Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think Haotian Xue Yongxin Chen DiffM AAML 105 4 0 20 Apr 2024
Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors Raz Lapid Almog Dubin Moshe Sipper AAML 66 4 0 18 Apr 2024
Exploring DNN Robustness Against Adversarial Attacks Using Approximate Multipliers Mohammad Javad Askarizadeh Ebrahim Farahmand Jorge Castro-Godínez A. Mahani Laura Cabrera-Quiros C. Salazar-García AAML 74 0 0 17 Apr 2024
Adversarial Identity Injection for Semantic Face Image Synthesis Giuseppe Tarollo Tomaso Fontanini Claudio Ferrari Guido Borghi Andrea Prati CVBM GAN 103 3 0 16 Apr 2024
Towards a Novel Perspective on Adversarial Examples Driven by Frequency Zhun Zhang Yi Zeng Qihe Liu Shijie Zhou AAML 57 0 0 16 Apr 2024
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing Song Xia Yu Yi Xudong Jiang Henghui Ding 124 10 0 15 Apr 2024
Black-box Adversarial Transferability: An Empirical Study in Cybersecurity Perspective Khushnaseeb Roshan Aasim Zafar AAML 61 7 0 15 Apr 2024
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models Peifei Zhu Tsubasa Takahashi Hirokatsu Kataoka WIGM 90 16 0 15 Apr 2024
Multimodal Attack Detection for Action Recognition Models Furkan Mumcu Yasin Yılmaz AAML 62 1 0 13 Apr 2024
PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis Dipkamal Bhusal Md Tanvirul Alam M. K. Veerabhadran Michael Clifford Sara Rampazzi Nidhi Rastogi AAML 98 1 0 12 Apr 2024
Practical Region-level Attack against Segment Anything Models Yifan Shen Zhengyuan Li Gang Wang VLM 73 10 0 12 Apr 2024
Persistent Classification: A New Approach to Stability of Data and Adversarial Examples Brian Bell Michael Geyer David Glickenstein Keaton Hamm C. Scheidegger Amanda S. Fernandez Juston Moore AAML 89 1 0 11 Apr 2024
Adversarial purification for no-reference image-quality metrics: applicability study and new methods Aleksandr Gushchin Anna Chistyakova Vladislav Minashkin Anastasia Antsiferova D. Vatolin 82 3 0 10 Apr 2024
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data Yu Qiao Chaoning Zhang Apurba Adhikary Choong Seon Hong FedML 75 7 0 10 Apr 2024
On adversarial training and the 1 Nearest Neighbor classifier Amir Hagai Yair Weiss AAML 97 0 0 09 Apr 2024
LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks Jianlang Chen Xuhong Ren Qing Guo Felix Juefei Xu Di Lin Wei Feng Lei Ma Jianjun Zhao 84 1 0 09 Apr 2024
Towards Robust Domain Generation Algorithm Classification Arthur Drichel Marc Meyer Ulrike Meyer AAML 72 3 0 09 Apr 2024
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothing Chengyan Fu Wenjie Wang AAML 92 0 0 08 Apr 2024
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack Viet Vo Ehsan Abbasnejad Damith C. Ranasinghe AAML 94 5 0 08 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey Naveen Karunanayake Ravin Gunawardena Suranga Seneviratne Sanjay Chawla OOD 95 7 0 08 Apr 2024
Evaluating Adversarial Robustness: A Comparison Of FGSM, Carlini-Wagner Attacks, And The Role of Distillation as Defense Mechanism Trilokesh Ranjan Sarkar Nilanjan Das Pralay Sankar Maitra Bijoy Some Ritwik Saha Orijita Adhikary Bishal Bose Jaydip Sen AAML 34 0 0 05 Apr 2024
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks Lei Zhang Yuhang Zhou Yi Yang Xinbo Gao AAML OOD 80 7 0 04 Apr 2024
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning Hongsheng Hu Shuo Wang Tian Dong Minhui Xue AAML 91 28 0 04 Apr 2024
One Noise to Rule Them All: Multi-View Adversarial Attacks with Universal Perturbation Mehmet Ergezer Phat Duong Christian Green Tommy Nguyen Abdurrahman Zeybey AAML 67 3 0 02 Apr 2024
Towards Robust 3D Pose Transfer with Adversarial Learning Haoyu Chen Hao Tang Ehsan Adeli Guoying Zhao 3DH AAML 75 3 0 02 Apr 2024
READ: Improving Relation Extraction from an ADversarial Perspective Dawei Li William Hogan Jingbo Shang AAML 97 0 0 02 Apr 2024
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay Yuhang Zhou Zhongyun Hua AAML CLL 96 4 0 02 Apr 2024
Machine Learning Robustness: A Primer Houssem Ben Braiek Foutse Khomh AAML OOD 106 8 0 01 Apr 2024
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches Lingxuan Wu Xiao Yang Yinpeng Dong Liuwei Xie Hang Su Jun Zhu AAML 77 2 0 31 Mar 2024
Bayesian Learned Models Can Detect Adversarial Malware For Free Bao Gia Doan Dang Quang Nguyen Paul Montague Tamas Abraham O. Vel S. Çamtepe S. Kanhere Ehsan Abbasnejad Damith C. Ranasinghe AAML 68 1 0 27 Mar 2024
FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids Emad Efatinasab Francesco Marchiori Alessandro Brighente M. Rampazzo Mauro Conti AAML 70 4 0 26 Mar 2024
Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving Junhao Zheng Chenhao Lin Jiahao Sun Zhengyu Zhao Qian Li Chao Shen 89 23 0 26 Mar 2024
The Anatomy of Adversarial Attacks: Concept-based XAI Dissection Georgii Mikriukov Gesina Schwalbe Franz Motzkus Korinna Bade AAML 77 1 0 25 Mar 2024
An Analytic Solution to Covariance Propagation in Neural Networks Oren Wright Yorie Nakahira José M. F. Moura 94 5 0 24 Mar 2024
Robust optimization for adversarial learning with finite sample complexity guarantees André Bertolace Konstatinos Gatsis Kostas Margellos AAML 66 1 0 22 Mar 2024
Testing the Limits of Jailbreaking Defenses with the Purple Problem Taeyoun Kim Suhas Kotha Aditi Raghunathan AAML 91 6 0 20 Mar 2024
Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process Vitaliy Pozdnyakov Aleksandr Kovalenko Ilya Makarov Mikhail Drobyshevskiy Kirill Lukyanov AAML 71 6 0 20 Mar 2024
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation Yifan Wu Jiawei Du Ping Liu Yuewei Lin Wenqing Cheng Wei Xu DD AAML 100 5 0 20 Mar 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 131 33 0 20 Mar 2024
Robust NAS under adversarial training: benchmark, theory, and beyond Yongtao Wu Fanghui Liu Carl-Johann Simon-Gabriel Grigorios G. Chrysos Volkan Cevher AAML OOD 92 5 0 19 Mar 2024