Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
NeuralSentinel: Safeguarding Neural Network Reliability and Trustworthiness Xabier Echeberria-Barrio Mikel Gorricho Selene Valencia Francesco Zola AAML 37 1 0 12 Feb 2024
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing Devansh Bhardwaj Kshitiz Kaushik Sarthak Gupta AAML 39 0 0 12 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 45 6 0 11 Feb 2024
Instance-Level Safety-Aware Fidelity of Synthetic Data and Its Calibration Chih-Hong Cheng Paul Stöckel Xingyu Zhao 35 2 0 10 Feb 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations Enyi Jiang Gagandeep Singh AAML 40 1 0 09 Feb 2024
Flashback: Understanding and Mitigating Forgetting in Federated Learning Mohammed Aljahdali A. Abdelmoniem Marco Canini Samuel Horváth 44 3 0 08 Feb 2024
Linearizing Models for Efficient yet Robust Private Inference Sreetama Sarkar Souvik Kundu Peter A. Beerel AAML 22 0 0 08 Feb 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 67 0 0 08 Feb 2024
PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network Tan Sun Junhong Lin AAML 37 2 0 06 Feb 2024
Unraveling the Key of Machine Learning Solutions for Android Malware Detection Jiahao Liu Jun Zeng Fabio Pierazzi Lorenzo Cavallaro Zhenkai Liang AAML 31 8 0 05 Feb 2024
A Generative Approach to Surrogate-based Black-box Attacks Raha Moraffah Huan Liu AAML 27 0 0 05 Feb 2024
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers Oryan Yehezkel Alon Zolfi Amit Baras Yuval Elovici A. Shabtai AAML 40 0 0 04 Feb 2024
A survey on robustness in trajectory prediction for autonomous vehicles Jeroen Hagenus Frederik Baymler Mathiesen J. Schumann Arkady Zgonnikov 40 3 0 02 Feb 2024
Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization Arezoo Rajabi Reeya Pimple Aiswarya Janardhanan Surudhi Asokraj Bhaskar Ramasubramanian Radha Poovendran 20 0 0 02 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 36 16 0 02 Feb 2024
Manipulating Predictions over Discrete Inputs in Machine Teaching Xiaodong Wu Yufei Han H. Dahrouj Jianbing Ni Zhenwen Liang Xiangliang Zhang 26 0 0 31 Jan 2024
Unified Physical-Digital Face Attack Detection Hao Fang Ajian Liu Haocheng Yuan Junze Zheng Dingheng Zeng ... Jiankang Deng Sergio Escalera Xiaoming Liu Jun Wan Zhen Lei CVBM AAML 26 13 0 31 Jan 2024
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective Yue Xing Xiaofeng Lin Qifan Song Yi Tian Xu Belinda Zeng Guang Cheng SSL 37 0 0 26 Jan 2024
Set-Based Training for Neural Network Verification Lukas Koller Tobias Ladner Matthias Althoff AAML 53 1 0 26 Jan 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training Shruthi Gowda Bahram Zonooz Elahe Arani AAML 40 2 0 26 Jan 2024
Black-Box Access is Insufficient for Rigorous AI Audits Stephen Casper Carson Ezell Charlotte Siegmann Noam Kolt Taylor Lynn Curtis ... Michael Gerovitch David Bau Max Tegmark David M. Krueger Dylan Hadfield-Menell AAML 45 78 0 25 Jan 2024
Sparse and Transferable Universal Singular Vectors Attack Kseniia Kuvshinova Olga Tsymboi Ivan Oseledets AAML 45 0 0 25 Jan 2024
A Training-Free Defense Framework for Robust Learned Image Compression Myungseo Song Jinyoung Choi Bohyung Han AAML 27 4 0 22 Jan 2024
Momentum-SAM: Sharpness Aware Minimization without Computational Overhead Marlon Becker Frederick Altrock Benjamin Risse 82 5 0 22 Jan 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications Hangsheng Zhang Jiqiang Liu Jinsong Dong AAML 26 1 0 20 Jan 2024
FIMBA: Evaluating the Robustness of AI in Genomics via Feature Importance Adversarial Attacks Heorhii Skovorodnikov Hoda AlKhzaimi AAML 32 2 0 19 Jan 2024
ContextMix: A context-aware data augmentation method for industrial visual inspection systems Hyungmin Kim Donghun Kim Pyunghwan Ahn Sungho Suh Hansang Cho Junmo Kim 36 2 0 18 Jan 2024
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization Guanglin Zhou Zhongyi Han Shiming Chen Erdun Gao Liming Zhu Tongliang Liu Lina Yao Kun Zhang 37 3 0 18 Jan 2024
MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networks Giovanni Pasqualino Luca Guarnera A. Ortis Sebastiano Battiato MedIm 37 3 0 17 Jan 2024
Robust Localization of Key Fob Using Channel Impulse Response of Ultra Wide Band Sensors for Keyless Entry Systems A. Kolli Filippo Casamassima Horst Possegger Horst Bischof AAML 30 1 0 16 Jan 2024
ML-On-Rails: Safeguarding Machine Learning Models in Software Systems A Case Study Hala Abdelkader Mohamed Abdelrazek Scott Barnett Jean-Guy Schneider Priya Rani Rajesh Vasa 45 3 0 12 Jan 2024
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method Chenxi Yang Yujia Liu Dingquan Li Tingting Jiang 42 6 0 10 Jan 2024
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 31 0 0 09 Jan 2024
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training Khoi M. Le Trinh Pham Tho Quan Anh Tuan Luu 27 7 0 09 Jan 2024
DOEPatch: Dynamically Optimized Ensemble Model for Adversarial Patches Generation Wenyi Tan Yang Li Chenxing Zhao Zhunga Liu Quanbiao Pan AAML 33 3 0 28 Dec 2023
Adversarial Attacks on LoRa Device Identification and Rogue Signal Detection with Deep Learning Y. Sagduyu T. Erpek 24 2 0 27 Dec 2023
Robustness Verification for Knowledge-Based Logic of Risky Driving Scenes Xia Wang Anda Liang Jonathan Sprinkle Taylor T. Johnson 32 4 0 27 Dec 2023
Robust Survival Analysis with Adversarial Regularization Michael Potter Stefano Maxenti Michael Everett AAML 29 0 0 26 Dec 2023
GanFinger: GAN-Based Fingerprint Generation for Deep Neural Network Ownership Verification Huali Ren Anli Yan Xiaojun Ren Peigen Ye Chong-zhi Gao Zhili Zhou Jin Li 22 0 0 25 Dec 2023
How Smooth Is Attention? Valérie Castin Pierre Ablin Gabriel Peyré AAML 45 9 0 22 Dec 2023
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks Peng Zhao Jiehua Zhang Bowen Peng Longguang Wang Yingmei Wei Yu Liu Li Liu AAML 42 0 0 21 Dec 2023
PGN: A perturbation generation network against deep reinforcement learning Xiangjuan Li Feifan Li Yang Li Quanbiao Pan AAML 27 2 0 20 Dec 2023
Towards Efficient Verification of Quantized Neural Networks Pei Huang Haoze Wu Yuting Yang Ieva Daukantas Min Wu Yedi Zhang Clark W. Barrett MQ 43 12 0 20 Dec 2023
Robust Node Representation Learning via Graph Variational Diffusion Networks Jun Zhuang M. A. Hasan 30 7 0 18 Dec 2023
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off Yuansan Liu Ruqing Zhang Mingkun Zhang Wei Chen Maarten de Rijke Jiafeng Guo Xueqi Cheng AAML 38 8 0 16 Dec 2023
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer Yuxin Cao Ziyu Zhao Xi Xiao Derui Wang Minhui Xue Jin Lu AAML 29 4 0 15 Dec 2023
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 69 4 0 15 Dec 2023
Efficient Representation of the Activation Space in Deep Neural Networks Tanya Akumu C. Cintas G. Tadesse Adebayo Oshingbesan Skyler Speakman E. McFowland AAML 38 0 0 13 Dec 2023
DTA: Distribution Transform-based Attack for Query-Limited Scenario Renyang Liu Wei Zhou Xin Jin Song Gao Yuanyu Wang Ruxin Wang 21 0 0 12 Dec 2023
An adversarial attack approach for eXplainable AI evaluation on deepfake detection models Balachandar Gowrisankar V. Thing AAML 36 11 0 08 Dec 2023