v1v2v3 (latest)

Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,380 papers shown

Title
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks Anastasia Antsiferova Khaled Abud Aleksandr Gushchin E. Shumitskaya Sergey Lavrushkin D. Vatolin 97 11 0 10 Oct 2023
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks Lukas Struppek Dominik Hintersdorf Kristian Kersting 81 15 0 10 Oct 2023
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks Yang Wang B. Dong Ke Xu Haiyin Piao Yufei Ding Baocai Yin Xin Yang AAML 76 3 0 10 Oct 2023
Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations Zeming Wei Yifei Wang Ang Li Yichuan Mo Yisen Wang 135 279 0 10 Oct 2023
BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Models Haoxiang Luo Jian Luo Athanasios V. Vasilakos 79 10 0 10 Oct 2023
Exploring adversarial attacks in federated learning for medical imaging Erfan Darzi Florian Dubost N. Sijtsema P. V. van Ooijen MedIm 75 7 0 10 Oct 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization Jiancong Xiao Ruoyu Sun Zhimin Luo AAML 78 7 0 09 Oct 2023
Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach Shaopeng Fu Di Wang AAML 129 2 0 09 Oct 2023
Empower Nested Boolean Logic via Self-Supervised Curriculum Learning Hongqiu Wu Linfeng Liu Haizhen Zhao Min Zhang LRM AI4CE NAI ELM 84 7 0 09 Oct 2023
GReAT: A Graph Regularized Adversarial Training Method Samet Bayram Kenneth Barner OOD AAML 70 1 0 09 Oct 2023
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization Zexu Sun Bowei He Ming Ma Jiakai Tang Yuchen Wang Chen Ma Dugang Liu 69 4 0 07 Oct 2023
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models Ziyi Yin Muchao Ye Tianrong Zhang Tianyu Du Jinguo Zhu Han Liu Jinghui Chen Ting Wang Fenglong Ma AAML VLM CoGe 89 44 0 07 Oct 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization Minxing Zhang Michael Backes Xiao Zhang AAML 163 1 0 06 Oct 2023
Assessing Robustness via Score-Based Adversarial Image Generation Marcel Kollovieh Lukas Gosch Yan Scholten Marten Lienen Leo Schwinn Stephan Günnemann DiffM 138 6 0 06 Oct 2023
Improving classifier decision boundaries using nearest neighbors Johannes Schneider AAML 82 0 0 05 Oct 2023
OMG-ATTACK: Self-Supervised On-Manifold Generation of Transferable Evasion Attacks Ofir Bar Tal Adi Haviv Amit H. Bermano AAML 79 0 0 05 Oct 2023
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Alexander Robey Eric Wong Hamed Hassani George J. Pappas AAML 207 260 0 05 Oct 2023
LumiNet: The Bright Side of Perceptual Knowledge Distillation Md. Ismail Hossain M. M. L. Elahi Sameera Ramasinghe A. Cheraghian Fuad Rahman Nabeel Mohammed Shafin Rahman 69 1 0 05 Oct 2023
Certification of Deep Learning Models for Medical Image Segmentation Othmane Laousy Alexandre Araujo G. Chassagnon Nikos Paragios M. Revel Maria Vakalopoulou MedIm 86 2 0 05 Oct 2023
Robustness-Guided Image Synthesis for Data-Free Quantization Jianhong Bai Yuchen Yang Huanpeng Chu Hualiang Wang Zuo-Qiang Liu Ruizhe Chen Xiaoxuan He Lianrui Mu Chengfei Cai Haoji Hu DiffM MQ 151 5 0 05 Oct 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally Shawqi Al-Maliki Adnan Qayyum Hassan Ali M. Abdallah Junaid Qadir D. Hoang Dusit Niyato Ala I. Al-Fuqaha AAML 121 3 0 05 Oct 2023
Targeted Adversarial Attacks on Generalizable Neural Radiance Fields András Horváth C. M. Józsa AAML AI4CE 93 5 0 05 Oct 2023
Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations Jiachi Liu Liwen Wang Guanting Dong Xiaoshuai Song Zechen Wang ... Shanglin Lei Jinzheng Zhao Keqing He Bo Xiao Weiran Xu 114 6 0 05 Oct 2023
Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria Nuoyan Zhou Nannan Wang Decheng Liu Dawei Zhou Xinbo Gao AAML 86 2 0 05 Oct 2023
Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection System Khushnaseeb Roshan Aasim Zafar Sheikh Burhan Ul Haque AAML 131 40 0 05 Oct 2023
Misusing Tools in Large Language Models With Visual Adversarial Examples Xiaohan Fu Zihan Wang Shuheng Li Rajesh K. Gupta Niloofar Mireshghallah Taylor Berg-Kirkpatrick Earlence Fernandes AAML 85 27 0 04 Oct 2023
SlowFormer: Universal Adversarial Patch for Attack on Compute and Energy Efficiency of Inference Efficient Vision Transformers K. Navaneet Soroush Abbasi Koohpayegani Essam Sleiman Hamed Pirsiavash AAML ViT 62 3 0 04 Oct 2023
Splitting the Difference on Adversarial Training Matan Levi A. Kontorovich 94 4 0 03 Oct 2023
Ravestate: Distributed Composition of a Causal-Specificity-Guided Interaction Policy Joseph Birkner Andreas Dolp Negin Karimi Nikita Basargin Alona Kharchenko Rafael Hostettler 41 0 0 03 Oct 2023
AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework Xilie Xu Jingfeng Zhang Mohan Kankanhalli AAML 70 10 0 03 Oct 2023
A Framework for Interpretability in Machine Learning for Medical Imaging Alan Q. Wang Batuhan K. Karaman Heejong Kim Jacob Rosenthal Rachit Saluja Sean I. Young M. Sabuncu AI4CE 134 13 0 02 Oct 2023
What's the Magic Word? A Control Theory of LLM Prompting Aman Bhargava Cameron Witkowski Manav Shah Matt W. Thomson LLMAG 123 31 0 02 Oct 2023
LLM Lies: Hallucinations are not Bugs, but Features as Adversarial Examples Jia-Yu Yao Kun-Peng Ning Zhen-Hui Liu Munan Ning Li Yuan HILM LRM AAML 98 194 0 02 Oct 2023
Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models Zhou Yang Zhipeng Zhao Chenyu Wang Jieke Shi Dongsum Kim Donggyun Han David Lo SILM AAML MIACV 115 12 0 02 Oct 2023
Fooling the Textual Fooler via Randomizing Latent Representations Duy C. Hoang Quang H. Nguyen Saurav Manchanda MinLong Peng Kok-Seng Wong Khoa D. Doan SILM AAML 75 0 0 02 Oct 2023
Deep Neural Networks Tend To Extrapolate Predictably Katie Kang Amrith Rajagopal Setlur Claire Tomlin Sergey Levine 61 0 0 02 Oct 2023
Counterfactual Image Generation for adversarially robust and interpretable Classifiers Rafael Bischof Florian Scheidegger Michael A. Kraus A. Malossi AAML 66 2 0 01 Oct 2023
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm Qi Wang Yiqin Lv Yanghe Feng Zheng Xie Jincai Huang 82 9 0 01 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 91 18 0 01 Oct 2023
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks Quang H. Nguyen Yingjie Lao Tung Pham Kok-Seng Wong Khoa D. Doan AAML SILM 86 1 0 01 Oct 2023
Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade Defense Hua Ma Shang Wang Yansong Gao Zhi-Li Zhang Huming Qiu Minhui Xue A. Abuadbba Anmin Fu Surya Nepal Derek Abbott AAML 94 6 0 01 Oct 2023
Human-Producible Adversarial Examples David Khachaturov Yue Gao Ilia Shumailov Robert D. Mullins Ross J. Anderson Kassem Fawaz AAML WIGM 74 1 0 30 Sep 2023
Intrinsic Biologically Plausible Adversarial Robustness Matilde Tristany Farinha Thomas Ortner Giorgia Dellaferrera Benjamin Grewe A. Pantazi AAML 123 1 0 29 Sep 2023
Leave-one-out Distinguishability in Machine Learning Jiayuan Ye Anastasia Borovykh Soufiane Hayou Reza Shokri 100 12 0 29 Sep 2023
Out-Of-Domain Unlabeled Data Improves Generalization Amir Saberi Amir Najafi Alireza Heidari Mohammad Hosein Movasaghinia Abolfazl Motahari B. Khalaj OOD 67 0 0 29 Sep 2023
Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation Vlad Hondru Radu Tudor Ionescu DiffM 106 2 0 29 Sep 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 121 11 0 29 Sep 2023
On Continuity of Robust and Accurate Classifiers Ramin Barati Reza Safabakhsh Mohammad Rahmati AAML 123 1 0 29 Sep 2023
Investigating Human-Identifiable Features Hidden in Adversarial Perturbations Dennis Y. Menn Tzu-hsun Feng Sriram Vishwanath Hung-yi Lee AAML 58 0 0 28 Sep 2023
Discovering environments with XRM Mohammad Pezeshki Diane Bouchacourt Mark Ibrahim Jimuyang Zhang Pascal Vincent David Lopez-Paz 98 19 0 28 Sep 2023