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Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017

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Papers citing "Towards Deep Learning Models Resistant to Adversarial Attacks"

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Title
The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others Daniel Sikar Artur Garcez Robin Bloomfield Tillman Weyde Kaleem Peeroo Naman Singh Maeve Hutchinson Dany Laksono Mirela Reljan-Delaney 89 2 0 10 Jul 2024
Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model Qi Song Ziyuan Luo Ka Chun Cheung Simon See Renjie Wan 87 13 0 10 Jul 2024
Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey Chenyu Zhang Mingwang Hu Wenhui Li Lanjun Wang 81 20 0 10 Jul 2024
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends Daizong Liu Mingyu Yang Xiaoye Qu Pan Zhou Yu Cheng Wei Hu ELM AAML 108 33 0 10 Jul 2024
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective Yu-An Liu Ruqing Zhang Jiafeng Guo Maarten de Rijke Yixing Fan Xueqi Cheng 118 11 0 09 Jul 2024
A Hybrid Training-time and Run-time Defense Against Adversarial Attacks in Modulation Classification Lu Zhang S. Lambotharan G. Zheng G. Liao Ambra Demontis Fabio Roli AAML 78 10 0 09 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Yanli Li Zhongliang Guo Nan Yang Huaming Chen Dong Yuan Weiping Ding FedML 93 5 0 09 Jul 2024
Improving the Transferability of Adversarial Examples by Feature Augmentation Donghua Wang Wen Yao Tingsong Jiang Xiaohu Zheng Junqi Wu Xiaoqian Chen AAML 101 0 0 09 Jul 2024
Certified Continual Learning for Neural Network Regression Long H. Pham Jun Sun 119 2 0 09 Jul 2024
Universal Multi-view Black-box Attack against Object Detectors via Layout Optimization Donghua Wang Wen Yao Tingsong Jiang Chao Li Xiaoqian Chen AAML 94 0 0 09 Jul 2024
DLOVE: A new Security Evaluation Tool for Deep Learning Based Watermarking Techniques Sudev Kumar Padhi Sk. Subidh Ali AAML 104 0 0 09 Jul 2024
Shedding More Light on Robust Classifiers under the lens of Energy-based Models Mujtaba Hussain Mirza Maria Rosaria Briglia Senad Beadini I. Masi AAML 63 5 0 08 Jul 2024
A Novel Bifurcation Method for Observation Perturbation Attacks on Reinforcement Learning Agents: Load Altering Attacks on a Cyber Physical Power System Kiernan Broda-Milian Ranwa Al-Mallah H. Dagdougui AAML 68 0 0 06 Jul 2024
Remembering Everything Makes You Vulnerable: A Limelight on Machine Unlearning for Personalized Healthcare Sector Ahan Chatterjee Sai Anirudh Aryasomayajula Rajat Chaudhari Subhajit Paul Vishwa Mohan Singh AAML 63 0 0 05 Jul 2024
Controlling Whisper: Universal Acoustic Adversarial Attacks to Control Speech Foundation Models Vyas Raina Mark Gales AAML 65 2 0 05 Jul 2024
Self-Supervised Representation Learning for Adversarial Attack Detection Yi Li Plamen Angelov N. Suri SSL AAML 81 4 0 05 Jul 2024
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density Peiyu Yang Naveed Akhtar Mubarak Shah Ajmal Mian AAML 67 1 0 05 Jul 2024
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning Xiaojin Zhang Mingcong Xu Wei Chen FedML 83 0 0 05 Jul 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness Kejia Zhang Juanjuan Weng Yuanzheng Cai Shaozi Li Shaozi Li AAML 177 0 0 04 Jul 2024
AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction Shengkun Wang Taoran Ji Jianfeng He Mariam Almutairi Dan Wang Linhan Wang Min Zhang Chang-Tien Lu 63 3 0 03 Jul 2024
Single Character Perturbations Break LLM Alignment Leon Lin Hannah Brown Kenji Kawaguchi Michael Shieh AAML 429 2 0 03 Jul 2024
$L_p$ -norm Distortion-Efficient Adversarial Attack Chao Zhou Yuan-Gen Wang Zi-Jia Wang Xiangui Kang 74 0 0 03 Jul 2024
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models Xu Han Linghao Jin Xuezhe Ma Xiaofeng Liu AAML 94 3 0 02 Jul 2024
MALT Powers Up Adversarial Attacks Odelia Melamed Gilad Yehudai Adi Shamir AAML 54 0 0 02 Jul 2024
Secure Semantic Communication via Paired Adversarial Residual Networks Boxiang He Fanggang Wang Tony Q. S. Quek GAN AAML 56 6 0 02 Jul 2024
SecGenAI: Enhancing Security of Cloud-based Generative AI Applications within Australian Critical Technologies of National Interest Christoforus Yoga Haryanto Minh Hieu Vu Trung Duc Nguyen Emily Lomempow Yulia Nurliana Sona Taheri 68 2 0 01 Jul 2024
Learning Robust 3D Representation from CLIP via Dual Denoising Shuqing Luo Bowen Qu Wei-Nan Gao 99 1 0 01 Jul 2024
Query-Efficient Hard-Label Black-Box Attack against Vision Transformers Chao Zhou Xiaowen Shi Yuan-Gen Wang ViT AAML 81 0 0 29 Jun 2024
Deceptive Diffusion: Generating Synthetic Adversarial Examples Lucas Beerens Catherine F. Higham D. Higham WIGM DiffM 75 2 0 28 Jun 2024
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness Erh-Chung Chen Pin-Yu Chen I-Hsin Chung Che-Rung Lee 80 3 0 28 Jun 2024
A Survey on Failure Analysis and Fault Injection in AI Systems Guangba Yu Gou Tan Haojia Huang Zhenyu Zhang Pengfei Chen Roberto Natella Zibin Zheng 99 6 0 28 Jun 2024
Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation Amartya Sanyal Yaxi Hu Yaodong Yu Yian Ma Yixin Wang Bernhard Schölkopf OODD 83 2 0 27 Jun 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé Sabyasachi Sahoo Y. Pequignot Frédéric Precioso Christian Gagné AAML 85 0 0 26 Jun 2024
Toward Availability Attacks in 3D Point Clouds Yifan Zhu Yibo Miao Yinpeng Dong Xiao-Shan Gao 3DPC AAML 101 4 0 26 Jun 2024
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks Min Ren Yunlong Wang Yuhao Zhu Yongzhen Huang Zhenan Sun Qi Li Tieniu Tan 119 4 0 26 Jun 2024
Diffusion-based Adversarial Purification for Intrusion Detection Mohamed Amine Merzouk Erwan Beurier Reda Yaich Nora Boulahia-Cuppens Frédéric Cuppens AAML 147 0 0 25 Jun 2024
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness Vaclav Voracek AAML 124 2 0 25 Jun 2024
GradCheck: Analyzing classifier guidance gradients for conditional diffusion sampling Philipp Vaeth Alexander M. Fruehwald Benjamin Paassen Magda Gregorova BDL 47 3 0 25 Jun 2024
Semantic Deep Hiding for Robust Unlearnable Examples Ruohan Meng Chenyu Yi Yi Yu Siyuan Yang Bingquan Shen Alex C. Kot 133 5 0 25 Jun 2024
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection Peng Huang Shu Hu Bo Peng Jiashu Zhang Xi Wu Xin Wang 95 6 0 25 Jun 2024
UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification Alvaro Lopez Pellicer Kittipos Giatgong Yi Li N. Suri Plamen Angelov AAML 61 3 0 24 Jun 2024
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction T. Han S. Nebelung Firas Khader Jakob Nikolas Kather Daniel Truhn MedIm DiffM 62 1 0 23 Jun 2024
Understanding and Diagnosing Deep Reinforcement Learning Ezgi Korkmaz 68 3 0 23 Jun 2024
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection Yi Li Plamen Angelov Zhengxin Yu Alvaro Lopez Pellicer Neeraj Suri 63 3 0 22 Jun 2024
DataFreeShield: Defending Adversarial Attacks without Training Data Hyeyoon Lee Kanghyun Choi Dain Kwon Sunjong Park Mayoore S. Jaiswal Noseong Park Jonghyun Choi Jinho Lee 78 0 0 21 Jun 2024
Robust Reinforcement Learning from Corrupted Human Feedback Alexander Bukharin Ilgee Hong Haoming Jiang Zichong Li Qingru Zhang Zixuan Zhang Tuo Zhao 103 8 0 21 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 248 1 0 21 Jun 2024
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification Xianlong Wang Shengshan Hu Yechao Zhang Ziqi Zhou Leo Yu Zhang Peng Xu Wei Wan Hai Jin AAML 141 3 0 21 Jun 2024
Contextual Interaction via Primitive-based Adversarial Training For Compositional Zero-shot Learning Suyi Li Chenyi Jiang Shidong Wang Yang Long Zheng Zhang Haofeng Zhang CoGe 92 0 0 21 Jun 2024
Uniform Convergence of Adversarially Robust Classifiers Rachel Morris Ryan Murray AAML 87 1 0 20 Jun 2024