Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks Zhenxing Niu Yuyao Sun Qiguang Miao Rong Jin Gang Hua AAML 49 6 0 28 May 2024
PeerFL: A Simulator for Peer-to-Peer Federated Learning at Scale Alka Luqman Shivanshu Shekhar Anupam Chattopadhyay FedML 40 0 0 28 May 2024
Spectral regularization for adversarially-robust representation learning Sheng Yang Jacob A. Zavatone-Veth Cengiz Pehlevan AAML OOD 57 0 0 27 May 2024
OSLO: One-Shot Label-Only Membership Inference Attacks Yuefeng Peng Jaechul Roh Subhransu Maji Amir Houmansadr 46 0 0 27 May 2024
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models Fengfan Zhou Qianyu Zhou Hefei Ling Xuequan Lu AAML 50 3 0 27 May 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective Nils Philipp Walter Linara Adilova Jilles Vreeken Michael Kamp AAML 51 2 0 27 May 2024
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving Shaoyuan Xie Lingdong Kong Wenwei Zhang Jiawei Ren Liang Pan Kai-xiang Chen Ziwei Liu AAML 60 10 0 27 May 2024
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness Jieren Deng Hanbin Hong A. Palmer Xin Zhou Jinbo Bi Kaleel Mahmood Yuan Hong Derek Aguiar AAML 42 0 0 25 May 2024
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate A. Fuller Daniel G. Kyrollos Yousef Yassin James R. Green 57 2 0 22 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Philip Torr Adel Bibi AAML 50 0 0 22 May 2024
Securing the Future of GenAI: Policy and Technology Mihai Christodorescu Craven S. Feizi Neil Zhenqiang Gong Mia Hoffmann ... Jessica Newman Emelia Probasco Yanjun Qi Khawaja Shams Turek SILM 57 3 0 21 May 2024
EGAN: Evolutional GAN for Ransomware Evasion Daniel Commey Benjamin Appiah B. K. Frimpong Isaac Osei Ebenezer N. A. Hammond Garth V. Crosby AAML GAN 39 0 0 20 May 2024
Boosting Few-Pixel Robustness Verification via Covering Verification Designs Yuval Shapira Naor Wiesel Shahar Shabelman Dana Drachsler-Cohen AAML 39 0 0 17 May 2024
Infrared Adversarial Car Stickers Xiaopei Zhu Yuqiu Liu Zhan Hu Jianmin Li Xiaolin Hu AAML 57 0 0 16 May 2024
Cross-Input Certified Training for Universal Perturbations Changming Xu Gagandeep Singh AAML 35 2 0 15 May 2024
Exploring the Interplay of Interpretability and Robustness in Deep Neural Networks: A Saliency-guided Approach Amira Guesmi Nishant Suresh Aswani Mohamed Bennai FAtt AAML 40 1 0 10 May 2024
Revisiting character-level adversarial attacks Elias Abad Rocamora Yongtao Wu Fanghui Liu Grigorios G. Chrysos V. Cevher AAML 41 3 0 07 May 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 56 4 0 07 May 2024
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability Juanjuan Weng Zhiming Luo Shaozi Li AAML 44 1 0 06 May 2024
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples M. Kozák Christian Scano Dmitrijs Trizna Fabio Roli AAML 44 0 0 04 May 2024
Probing Human Visual Robustness with Neurally-Guided Deep Neural Networks Zhenan Shao Linjian Ma Yiqing Zhou Yibo Jacky Zhang Sanmi Koyejo Bo Li Diane M. Beck AAML 58 3 0 04 May 2024
Adversarial Botometer: Adversarial Analysis for Social Bot Detection S. Najari Davood Rafiee Mostafa Salehi R. Farahbakhsh AAML DeLMO 38 1 0 03 May 2024
Impact of Architectural Modifications on Deep Learning Adversarial Robustness Firuz Juraev Mohammed Abuhamad Simon S. Woo George K Thiruvathukal Tamer Abuhmed AAML 51 0 0 03 May 2024
Stability of Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 43 1 0 03 May 2024
Robust Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 45 0 0 03 May 2024
Adversarial Attacks on Reinforcement Learning Agents for Command and Control Ahaan Dabholkar James Z. Hare Mark R. Mittrick John Richardson Nick Waytowich Priya Narayanan Saurabh Bagchi AAML 42 1 0 02 May 2024
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders Yi Yu Yufei Wang Song Xia Wenhan Yang Shijian Lu Yap-Peng Tan A.C. Kot AAML 49 11 0 02 May 2024
Robust Decentralized Learning with Local Updates and Gradient Tracking Sajjad Ghiasvand Amirhossein Reisizadeh Mahnoosh Alizadeh Ramtin Pedarsani 47 3 0 02 May 2024
QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering Ouyang Sheng Jianzong Wang Yong Zhang Zhitao Li Ziqi Liang Xulong Zhang Ning Cheng Jing Xiao 34 0 0 30 Apr 2024
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 49 8 0 30 Apr 2024
Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots Xi Xin Giles Hooker Fei Huang AAML 51 7 0 29 Apr 2024
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks Yunzhen Feng Tim G. J. Rudner Nikolaos Tsilivis Julia Kempe AAML BDL 48 1 0 27 Apr 2024
Talking Nonsense: Probing Large Language Models' Understanding of Adversarial Gibberish Inputs Valeriia Cherepanova James Zou AAML 38 4 0 26 Apr 2024
Don't Say No: Jailbreaking LLM by Suppressing Refusal Yukai Zhou Wenjie Wang AAML 47 15 0 25 Apr 2024
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models Jingyao Xu Yuetong Lu Yandong Li Siyang Lu Dongdong Wang Xiang Wei AAML DiffM 34 10 0 23 Apr 2024
Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure Tobias Ladner Michael Eichelbeck Matthias Althoff GNN 68 0 0 23 Apr 2024
A mean curvature flow arising in adversarial training Leon Bungert Tim Laux Kerrek Stinson AAML 40 3 0 22 Apr 2024
Audio Anti-Spoofing Detection: A Survey Menglu Li Yasaman Ahmadiadli Xiao-Ping Zhang 50 19 0 22 Apr 2024
Explicit Lipschitz Value Estimation Enhances Policy Robustness Against Perturbation Xulin Chen Ruipeng Liu Garret E. Katz 46 0 0 22 Apr 2024
Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think Haotian Xue Yongxin Chen DiffM AAML 45 3 0 20 Apr 2024
Global Counterfactual Directions Bartlomiej Sobieski P. Biecek DiffM 60 5 0 18 Apr 2024
Factorized Diffusion: Perceptual Illusions by Noise Decomposition Daniel Geng Inbum Park Andrew Owens DiffM 46 16 0 17 Apr 2024
Towards a Novel Perspective on Adversarial Examples Driven by Frequency Zhun Zhang Yi Zeng Qihe Liu Shijie Zhou AAML 39 0 0 16 Apr 2024
Ti-Patch: Tiled Physical Adversarial Patch for no-reference video quality metrics Victoria Leonenkova E. Shumitskaya Anastasia Antsiferova D. Vatolin 51 3 0 15 Apr 2024
A Survey of Neural Network Robustness Assessment in Image Recognition Jie Wang Jun Ai Minyan Lu Haoran Su Dan Yu Yutao Zhang Junda Zhu Jingyu Liu AAML 35 3 0 12 Apr 2024
Struggle with Adversarial Defense? Try Diffusion Yujie Li Yanbin Wang Haitao Xu Bin Liu Jianguo Sun Zhenhao Guo Wenrui Ma DiffM 40 1 0 12 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 51 2 0 10 Apr 2024
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack Viet Vo Ehsan Abbasnejad Damith C. Ranasinghe AAML 51 5 0 08 Apr 2024
CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems Francesco Marchiori Mauro Conti AAML 26 0 0 06 Apr 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training Shizhan Gong Qi Dou Farzan Farnia FAtt 47 2 0 06 Apr 2024