v1v2v3 (latest)

Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,382 papers shown

Title
FRAUDability: Estimating Users' Susceptibility to Financial Fraud Using Adversarial Machine Learning Chen Doytshman Satoru Momiyama Inderjeet Singh Yuval Elovici A. Shabtai 41 1 0 02 Dec 2023
Optimal Attack and Defense for Reinforcement Learning Jeremy McMahan Young Wu Xiaojin Zhu Qiaomin Xie AAML OffRL 70 10 0 30 Nov 2023
Fool the Hydra: Adversarial Attacks against Multi-view Object Detection Systems Bilel Tarchoun Quazi Mishkatul Alam Nael B. Abu-Ghazaleh Ihsen Alouani AAML 43 0 0 30 Nov 2023
Universal Backdoor Attacks Benjamin Schneider Nils Lukas Florian Kerschbaum SILM 91 4 0 30 Nov 2023
IMMA: Immunizing text-to-image Models against Malicious Adaptation Yijia Zheng Raymond A. Yeh 125 9 0 30 Nov 2023
Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training Saurabh Farkya Aswin Raghavan Avi Ziskind 73 0 0 30 Nov 2023
Improving Adversarial Transferability via Model Alignment A. Ma Amir-massoud Farahmand Yangchen Pan Philip Torr Jindong Gu AAML 84 5 0 30 Nov 2023
TrustMark: Universal Watermarking for Arbitrary Resolution Images Tu Bui S. Agarwal John Collomosse 105 19 0 30 Nov 2023
Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models Daniel Geng Inbum Park Andrew Owens DiffM 100 30 0 29 Nov 2023
On the Adversarial Robustness of Graph Contrastive Learning Methods Filippo Guerranti Zinuo Yi Anna Starovoit Rafiq Kamel Simon Geisler Stephan Günnemann AAML 136 2 0 29 Nov 2023
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers Chi-Pin Huang Kai-Po Chang Chung-Ting Tsai Yung-Hsuan Lai Fu-En Yang Yu-Chiang Frank Wang DiffM 107 56 0 29 Nov 2023
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context Shashank Agnihotri Julia Grabinski Margret Keuper 91 6 0 29 Nov 2023
MMA-Diffusion: MultiModal Attack on Diffusion Models Yijun Yang Ruiyuan Gao Xiaosen Wang Tsung-Yi Ho Nan Xu Qiang Xu 101 77 0 29 Nov 2023
Quantum Neural Networks under Depolarization Noise: Exploring White-Box Attacks and Defenses David Winderl Nicola Franco J. M. Lorenz AAML 93 7 0 29 Nov 2023
Improving the Robustness of Transformer-based Large Language Models with Dynamic Attention Lujia Shen Yuwen Pu Shouling Ji Changjiang Li Xuhong Zhang Chunpeng Ge Ting Wang AAML 75 6 0 29 Nov 2023
RADAP: A Robust and Adaptive Defense Against Diverse Adversarial Patches on Face Recognition Xiaoliang Liu Shen Furao Jian Zhao Changhai Nie AAML 77 4 0 29 Nov 2023
NeRFTAP: Enhancing Transferability of Adversarial Patches on Face Recognition using Neural Radiance Fields Xiaoliang Liu Shen Furao Feng Han Jian Zhao Changhai Nie AAML 62 0 0 29 Nov 2023
STR-Cert: Robustness Certification for Deep Text Recognition on Deep Learning Pipelines and Vision Transformers Daqian Shao Lukas Fesser Marta Z. Kwiatkowska 63 0 0 28 Nov 2023
Survey on AI Ethics: A Socio-technical Perspective Dave Mbiazi Meghana Bhange Maryam Babaei Ivaxi Sheth Patrik Kenfack 99 5 0 28 Nov 2023
Vulnerability Analysis of Transformer-based Optical Character Recognition to Adversarial Attacks Lucas Beerens D. Higham 73 1 0 28 Nov 2023
1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness Bernd Prach Fabio Brau Giorgio Buttazzo Christoph H. Lampert 91 8 0 28 Nov 2023
A Unified Hardware-based Threat Detector for AI Accelerators Xiaobei Yan Han Qiu Tianwei Zhang 92 2 0 28 Nov 2023
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model AprilPyone Maungmaung Isao Echizen Hitoshi Kiya VLM AAML 64 0 0 28 Nov 2023
On robust overfitting: adversarial training induced distribution matters Runzhi Tian Yongyi Mao OOD 90 1 0 28 Nov 2023
Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal Inconsistencies Mulin Tian Mahyar Khayatkhoei Joe Mathai Wael AbdAlmageed 101 7 0 28 Nov 2023
Rethinking Mixup for Improving the Adversarial Transferability Xiaosen Wang Zeyuan Yin AAML 69 2 0 28 Nov 2023
On the Robustness of Decision-Focused Learning Yehya Farhat 83 0 0 28 Nov 2023
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts Yichao Cai Yuhang Liu Zhen Zhang Javen Qinfeng Shi CLIP VLM 161 8 0 28 Nov 2023
Adversarial Doodles: Interpretable and Human-drawable Attacks Provide Describable Insights Ryoya Nara Yusuke Matsui AAML 90 0 0 27 Nov 2023
Relationship between Model Compression and Adversarial Robustness: A Review of Current Evidence Svetlana Pavlitska Hannes Grolig J. Marius Zöllner AAML 140 3 0 27 Nov 2023
RetouchUAA: Unconstrained Adversarial Attack via Image Retouching Mengda Xie Yiling He Meie Fang AAML 73 1 0 27 Nov 2023
Instruct2Attack: Language-Guided Semantic Adversarial Attacks Jiang-Long Liu Chen Wei Yuxiang Guo Heng Yu Alan Yuille Soheil Feizi Chun Pong Lau Rama Chellappa DiffM AAML 102 7 0 27 Nov 2023
Adversarial Purification of Information Masking Sitong Liu Z. Lian Shuangquan Zhang Liang Xiao AAML 76 0 0 26 Nov 2023
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement Avani Gupta Saurabh Saini P. J. Narayanan 97 8 0 26 Nov 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 94 2 0 26 Nov 2023
Trainwreck: A damaging adversarial attack on image classifiers Jan Zahálka 105 1 0 24 Nov 2023
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models Francesco Croce Matthias Hein VLM 69 3 0 24 Nov 2023
Robust and Interpretable COVID-19 Diagnosis on Chest X-ray Images using Adversarial Training Karina Yang Alexis Bennett Dominique Duncan OOD 74 1 0 23 Nov 2023
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence Benoît Coqueret Mathieu Carbone Olivier Sentieys Gabriel Zaid 93 2 0 23 Nov 2023
Efficient Trigger Word Insertion Yueqi Zeng Ziqiang Li Pengfei Xia Lei Liu Bin Li AAML 84 5 0 23 Nov 2023
Adversarial defense based on distribution transfer Jiahao Chen Diqun Yan Li Dong 80 0 0 23 Nov 2023
Security and Privacy Challenges in Deep Learning Models Gopichandh Golla AAML SILM MIACV 47 1 0 23 Nov 2023
A Somewhat Robust Image Watermark against Diffusion-based Editing Models Mingtian Tan Tianhao Wang Somesh Jha WIGM 86 3 0 22 Nov 2023
Panda or not Panda? Understanding Adversarial Attacks with Interactive Visualization Yuzhe You Jarvis Tse Jian Zhao AAML 62 3 0 22 Nov 2023
Transfer Attacks and Defenses for Large Language Models on Coding Tasks Chi Zhang Zifan Wang Ravi Mangal Matt Fredrikson Limin Jia Corina S. Pasareanu AAML SILM 74 1 0 22 Nov 2023
A Survey of Adversarial CAPTCHAs on its History, Classification and Generation Zisheng Xu Qiao Yan Fei Yu Victor C.M. Leung AAML 89 1 0 22 Nov 2023
MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning Yixin Liu Chenrui Fan Yutong Dai Xun Chen Pan Zhou Lichao Sun DiffM 107 23 0 22 Nov 2023
CovarNav: Machine Unlearning via Model Inversion and Covariance Navigation Ali Abbasi Chayne Thrash Elaheh Akbari Daniel Zhang Soheil Kolouri MU 70 4 0 21 Nov 2023
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detection Renu Sharma Redwan Sony Arun Ross AAML 106 3 0 21 Nov 2023
Attention Deficit is Ordered! Fooling Deformable Vision Transformers with Collaborative Adversarial Patches Quazi Mishkatul Alam Bilel Tarchoun Ihsen Alouani Nael B. Abu-Ghazaleh AAML ViT 78 1 0 21 Nov 2023