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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Boosting Few-Pixel Robustness Verification via Covering Verification Designs Yuval Shapira Naor Wiesel Shahar Shabelman Dana Drachsler-Cohen AAML 87 0 0 17 May 2024
Relational DNN Verification With Cross Executional Bound Refinement Debangshu Banerjee Gagandeep Singh AAML 76 5 0 16 May 2024
Monitizer: Automating Design and Evaluation of Neural Network Monitors Muqsit Azeem Marta Grobelna Sudeep Kanav Jan Křetínský Stefanie Mohr Sabine Rieder 90 2 0 16 May 2024
Adversarial Robustness for Visual Grounding of Multimodal Large Language Models Kuofeng Gao Yang Bai Jiawang Bai Yong Yang Shu-Tao Xia AAML 100 19 0 16 May 2024
Infrared Adversarial Car Stickers Xiaopei Zhu Yuqiu Liu Zhan Hu Jianmin Li Xiaolin Hu AAML 94 0 0 16 May 2024
DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection Yuhao Sun Lingyun Yu Hongtao Xie Jiaming Li Yongdong Zhang AAML DiffM PICV 92 10 0 16 May 2024
Properties that allow or prohibit transferability of adversarial attacks among quantized networks Abhishek Shrestha Jürgen Grossmann AAML 45 0 0 15 May 2024
Training Deep Learning Models with Hybrid Datasets for Robust Automatic Target Detection on real SAR images Benjamin Camus Théo Voillemin C. Barbu Jean-Christophe Louvigné Carole Belloni Emmanuel Vallée 49 1 0 15 May 2024
Cross-Input Certified Training for Universal Perturbations Changming Xu Gagandeep Singh AAML 64 2 0 15 May 2024
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models Raghuveer Peri Sai Muralidhar Jayanthi S. Ronanki Anshu Bhatia Karel Mundnich ... Srikanth Vishnubhotla Daniel Garcia-Romero S. Srinivasan Kyu J. Han Katrin Kirchhoff AAML 80 3 0 14 May 2024
AI-Cybersecurity Education Through Designing AI-based Cyberharassment Detection Lab Ebuka Okpala Nishant Vishwamitra Keyan Guo Song Liao Long Cheng Hongxin Hu Yongkai Wu Xiaohong Yuan Jeannette Wade S. Khorsandroo 21 0 0 13 May 2024
Oedipus: LLM-enchanced Reasoning CAPTCHA Solver Gelei Deng Haoran Ou Yi Liu Jie Zhang Tianwei Zhang Yang Liu LRM 94 7 0 13 May 2024
Machine Unlearning: A Comprehensive Survey Weiqi Wang Zhiyi Tian Chenhan Zhang Shui Yu MU AILaw 90 18 0 13 May 2024
Evaluating Adversarial Robustness in the Spatial Frequency Domain Keng-Hsin Liao Chin-Yuan Yeh Hsi-Wen Chen Ming-Syan Chen 71 0 0 10 May 2024
Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing Juanjuan Weng Zhiming Luo Shaozi Li AAML 84 0 0 10 May 2024
PUMA: margin-based data pruning Javier Maroto Pascal Frossard AAML 83 1 0 10 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 73 1 0 10 May 2024
BB-Patch: BlackBox Adversarial Patch-Attack using Zeroth-Order Optimization Satyadwyoom Kumar Saurabh Gupta Arun Balaji Buduru AAML 68 0 0 09 May 2024
Universal Adversarial Perturbations for Vision-Language Pre-trained Models Pengfei Zhang Zi Huang Guangdong Bai AAML 90 13 0 09 May 2024
Towards Accurate and Robust Architectures via Neural Architecture Search Yuwei Ou Yuqi Feng Yanan Sun AAML 68 2 0 09 May 2024
Adversarial Threats to Automatic Modulation Open Set Recognition in Wireless Networks Yandie Yang Sicheng Zhang Kuixian Li Qiao Tian Yun Lin AAML 129 0 0 08 May 2024
Learning To See But Forgetting To Follow: Visual Instruction Tuning Makes LLMs More Prone To Jailbreak Attacks Georgios Pantazopoulos Amit Parekh Malvina Nikandrou Alessandro Suglia 115 5 0 07 May 2024
Revisiting character-level adversarial attacks Elias Abad Rocamora Yongtao Wu Fanghui Liu Grigorios G. Chrysos Volkan Cevher AAML 96 4 0 07 May 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 100 4 0 07 May 2024
Explainability-Informed Targeted Malware Misclassification Quincy Card Kshitiz Aryal Maanak Gupta AAML 40 4 0 07 May 2024
Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management Ravikumar Balakrishnan Marius Arvinte N. Himayat Hosein Nikopour Hassnaa Moustafa AAML 65 2 0 06 May 2024
On Adversarial Examples for Text Classification by Perturbing Latent Representations Korn Sooksatra Bikram Khanal Pablo Rivas SILM AAML 69 3 0 06 May 2024
Is ReLU Adversarially Robust? Korn Sooksatra Greg Hamerly Pablo Rivas 79 3 0 06 May 2024
UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images Y. Qu Xinyue Shen Yixin Wu Michael Backes Savvas Zannettou Yang Zhang EGVM 103 20 0 06 May 2024
Stability Evaluation via Distributional Perturbation Analysis Jose H. Blanchet Peng Cui Jiajin Li Jiashuo Liu 90 1 0 06 May 2024
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability Juanjuan Weng Zhiming Luo Shaozi Li AAML 67 1 0 06 May 2024
Tree-based Ensemble Learning for Out-of-distribution Detection Zhaiming Shen Menglun Wang Guang Cheng Ming-Jun Lai Lin Mu Ruihao Huang Qi Liu Hao Zhu OODD 50 0 0 05 May 2024
You Only Need Half: Boosting Data Augmentation by Using Partial Content Juntao Hu Yuan Wu 78 1 0 05 May 2024
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples M. Kozák Christian Scano Dmitrijs Trizna Fabio Roli AAML 115 0 0 04 May 2024
Adversarial Botometer: Adversarial Analysis for Social Bot Detection S. Najari Davood Rafiee Mostafa Salehi R. Farahbakhsh AAML DeLMO 75 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 147 0 0 03 May 2024
Stability of Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 81 1 0 03 May 2024
Robust Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 89 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 73 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 108 14 0 02 May 2024
Improving Membership Inference in ASR Model Auditing with Perturbed Loss Features Francisco Teixeira Karla Pizzi R. Olivier A. Abad Bhiksha Raj Isabel Trancoso AAML 100 2 0 02 May 2024
Error-Driven Uncertainty Aware Training Pedro Mendes Paolo Romano David Garlan UQCV 105 2 0 02 May 2024
Robust Decentralized Learning with Local Updates and Gradient Tracking Sajjad Ghiasvand Amirhossein Reisizadeh Mahnoosh Alizadeh Ramtin Pedarsani 114 4 0 02 May 2024
Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization Chris Junchi Li 114 0 0 01 May 2024
ASAM: Boosting Segment Anything Model with Adversarial Tuning Bo Li Haoke Xiao Lv Tang 110 11 0 01 May 2024
Improving Disease Detection from Social Media Text via Self-Augmentation and Contrastive Learning Pervaiz Iqbal Khan Andreas Dengel Sheraz Ahmed 64 1 0 30 Apr 2024
Causal Perception Inspired Representation Learning for Trustworthy Image Quality Assessment Lei Wang Desen Yuan AAML OOD 65 1 0 30 Apr 2024
Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World Wen Yin Jian Lou Pan Zhou Yulai Xie Dan Feng Yuhua Sun Tailai Zhang Lichao Sun AAML 79 7 0 30 Apr 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 54 0 0 30 Apr 2024
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective Wanqi Zhou Shuanghao Bai Qibin Zhao Badong Chen VLM AAML 115 9 0 30 Apr 2024