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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
On Evaluating the Adversarial Robustness of Semantic Segmentation Models L. Halmosi Márk Jelasity AAML VLM 112 1 0 25 Jun 2023
Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc Fabio Merizzi Perrine Saillard Oceane Acquier E. Morotti E. L. Piccolomini L. Calatroni Rosa Maria Dessì AI4CE 47 8 0 25 Jun 2023
Boosting Model Inversion Attacks with Adversarial Examples Shuai Zhou Tianqing Zhu Dayong Ye Xin Yu Wanlei Zhou AAML MIACV 85 18 0 24 Jun 2023
Adversarial Robustness Certification for Bayesian Neural Networks Matthew Wicker A. Patané Luca Laurenti Marta Z. Kwiatkowska AAML 83 3 0 23 Jun 2023
Creating Valid Adversarial Examples of Malware M. Kozák M. Jureček Mark Stamp Fabio Di Troia AAML 67 10 0 23 Jun 2023
Robustness of Segment Anything Model (SAM) for Autonomous Driving in Adverse Weather Conditions Xinru Shan Chaoning Zhang VLM 90 14 0 23 Jun 2023
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis Divyam Madaan D. Sodickson K. Cho S. Chopra OOD MedIm 73 1 0 23 Jun 2023
Visual Adversarial Examples Jailbreak Aligned Large Language Models Xiangyu Qi Kaixuan Huang Ashwinee Panda Peter Henderson Mengdi Wang Prateek Mittal AAML 124 173 0 22 Jun 2023
Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces Fahad Shamshad K. Srivatsan Karthik Nandakumar AAML CVBM 84 6 0 22 Jun 2023
Adversarial Resilience in Sequential Prediction via Abstention Surbhi Goel Steve Hanneke Shay Moran Abhishek Shetty 82 5 0 22 Jun 2023
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models Francesco Croce Naman D. Singh Matthias Hein VLM 82 10 0 22 Jun 2023
Towards quantum enhanced adversarial robustness in machine learning Maxwell T. West S. Tsang J. S. Low C. Hill C. Leckie Lloyd C. L. Hollenberg S. Erfani Muhammad Usman AAML OOD 79 57 0 22 Jun 2023
Rethinking the Backward Propagation for Adversarial Transferability Xiaosen Wang Kangheng Tong Kun He AAML SILM 131 29 0 22 Jun 2023
Adversarial Training with Generated Data in High-Dimensional Regression: An Asymptotic Study Yue Xing 53 0 0 21 Jun 2023
Verifying Global Neural Network Specifications using Hyperproperties David Boetius Stefan Leue AAML 64 0 0 21 Jun 2023
Geometric Algorithms for $k$ -NN Poisoning Diego Ihara Centurion Karine Chubarian Bohan Fan Francesco Sgherzi Thiruvenkadam S Radhakrishnan Anastasios Sidiropoulos Angelo Straight FedML 28 0 0 21 Jun 2023
Adversarial Attacks Neutralization via Data Set Randomization Mouna Rabhi Roberto Di Pietro AAML 70 0 0 21 Jun 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 126 12 0 21 Jun 2023
Sample Attackability in Natural Language Adversarial Attacks Vyas Raina Mark Gales SILM 110 1 0 21 Jun 2023
Physics-constrained Attack against Convolution-based Human Motion Prediction Chengxu Duan Zhicheng Zhang Xiaoli Liu Yonghao Dang Jianqin Yin AAML 3DH 93 1 0 21 Jun 2023
Universal adversarial perturbations for multiple classification tasks with quantum classifiers Yun-Zhong Qiu AAML 80 1 0 21 Jun 2023
Towards a robust and reliable deep learning approach for detection of compact binary mergers in gravitational wave data S. Jadhav Mihir Shrivastava S. Mitra OOD 80 9 0 20 Jun 2023
MoleCLUEs: Molecular Conformers Maximally In-Distribution for Predictive Models Michael R. Maser Natasa Tagasovska Jae Hyeon Lee Andrew Watkins 118 0 0 20 Jun 2023
An empirical study of using radiology reports and images to improve ICU mortality prediction Ming-Yen Lin Song Wang Ying Ding Lihui Zhao Fei Wang Yifan Peng 53 11 0 20 Jun 2023
Reversible Adversarial Examples with Beam Search Attack and Grayscale Invariance Hao Zhang Chi Man Pun Xia Du AAML 55 0 0 20 Jun 2023
Eight challenges in developing theory of intelligence Haiping Huang 101 7 0 20 Jun 2023
Adversarial Training Should Be Cast as a Non-Zero-Sum Game Alexander Robey Fabian Latorre George J. Pappas Hamed Hassani Volkan Cevher AAML 158 13 0 19 Jun 2023
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming Steven Adams A. Patané Morteza Lahijanian Luca Laurenti AAML 194 7 0 19 Jun 2023
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses M. Ferrag Othmane Friha B. Kantarci Norbert Tihanyi Lucas C. Cordeiro Merouane Debbah Djallel Hamouda Muna Al-Hawawreh K. Choo 166 51 0 17 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Yuxuan Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 229 117 0 16 Jun 2023
Towards Better Certified Segmentation via Diffusion Models Othmane Laousy Alexandre Araujo G. Chassagnon M. Revel S. Garg Farshad Khorrami Maria Vakalopoulou DiffM 86 2 0 16 Jun 2023
Wasserstein distributional robustness of neural networks Xingjian Bai Guangyi He Yifan Jiang J. Obłój OOD AAML 100 7 0 16 Jun 2023
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks Cai Kang Yinpeng Dong Zhengyi Wang Shouwei Ruan Yubo Chen Hang Su Xingxing Wei AAML DiffM 100 11 0 15 Jun 2023
In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems Roman Beltiukov Wenbo Guo Arpit Gupta W. Willinger 55 17 0 15 Jun 2023
Deep Generative Models for Decision-Making and Control Michael Janner 78 1 0 15 Jun 2023
Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification Paweł Piwek Adam Klukowski Tianyang Hu 50 5 0 15 Jun 2023
Augment then Smooth: Reconciling Differential Privacy with Certified Robustness Jiapeng Wu Atiyeh Ashari Ghomi David Glukhov Jesse C. Cresswell Franziska Boenisch Nicolas Papernot AAML 87 2 0 14 Jun 2023
Reliable Evaluation of Adversarial Transferability Wenqian Yu Jindong Gu Zhijiang Li Philip Torr AAML 97 8 0 14 Jun 2023
X-Detect: Explainable Adversarial Patch Detection for Object Detectors in Retail Omer Hofman Amit Giloni Yarin Hayun I. Morikawa Toshiya Shimizu Yuval Elovici A. Shabtai AAML 90 4 0 14 Jun 2023
Global-Local Processing in Convolutional Neural Networks Z. Rezvani Soroor Shekarizeh Mohammad Sabokrou 18 0 0 14 Jun 2023
On the Robustness of Latent Diffusion Models Jianping Zhang Zhuoer Xu Shiwen Cui Changhua Meng Weibin Wu Michael R. Lyu AAML 82 20 0 14 Jun 2023
Maestro: A Gamified Platform for Teaching AI Robustness Margarita Geleta Jiacen Xu Manikanta Loya Junlin Wang Sameer Singh Zhou Li Sergio Gago-Masague 59 2 0 14 Jun 2023
Adversarial Capsule Networks for Romanian Satire Detection and Sentiment Analysis Sebastian-Vasile Echim Ruazvan-Alexandru Smuadu Andrei-Marius Avram Dumitru-Clementin Cercel Florin-Catalin Pop 62 5 0 13 Jun 2023
Area is all you need: repeatable elements make stronger adversarial attacks D. Niederhut AAML 66 0 0 13 Jun 2023
Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis Yi Ma Zhengyu Zhao Xinlei He Zheng Li Michael Backes Yang Zhang AAML WIGM 90 21 0 13 Jun 2023
Robustness of SAM: Segment Anything Under Corruptions and Beyond Yu Qiao Chaoning Zhang Taegoo Kang Donghun Kim Chenshuang Zhang Choong Seon Hong AAML 56 34 0 13 Jun 2023
Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems Michele Panariello W. Ge Hemlata Tak Massimiliano Todisco Nicholas W. D. Evans AAML 70 14 0 13 Jun 2023
Revisiting and Advancing Adversarial Training Through A Simple Baseline Hong Liu AAML 66 0 0 13 Jun 2023
I See Dead People: Gray-Box Adversarial Attack on Image-To-Text Models Raz Lapid Moshe Sipper AAML 112 17 0 13 Jun 2023
On Achieving Optimal Adversarial Test Error Justin D. Li Matus Telgarsky AAML 64 2 0 13 Jun 2023