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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
CTBENCH: A Library and Benchmark for Certified Training Yuhao Mao Stefan Balauca Martin Vechev OOD 135 5 0 07 Jun 2024
PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning Tianrong Zhang Zhaohan Xi Ting Wang Prasenjit Mitra Jinghui Chen AAML SILM 77 2 0 06 Jun 2024
Improving Alignment and Robustness with Circuit Breakers Andy Zou Long Phan Justin Wang Derek Duenas Maxwell Lin Maksym Andriushchenko Rowan Wang Zico Kolter Matt Fredrikson Dan Hendrycks AAML 147 114 0 06 Jun 2024
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection Yinting Wu Pai Peng Bo Cai Le Li . AAML 68 0 0 06 Jun 2024
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt Zonghao Ying Aishan Liu Tianyuan Zhang Zhengmin Yu Siyuan Liang Xianglong Liu Dacheng Tao AAML 119 40 0 06 Jun 2024
Memorization in deep learning: A survey Jiaheng Wei Yanjun Zhang Leo Yu Zhang Ming Ding Chao Chen Kok-Leong Ong Jun Zhang Yang Xiang 121 7 0 06 Jun 2024
JIGMARK: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model Edits Minzhou Pan Yi Zeng Xue Lin Ning Yu Cho-Jui Hsieh Peter Henderson Ruoxi Jia WIGM 131 4 0 06 Jun 2024
Principles of Designing Robust Remote Face Anti-Spoofing Systems Xiang Xu Tianchen Zhao Zheng Zhang Zhihua Li Jon Wu Alessandro Achille Mani Srivastava AAML 84 4 0 06 Jun 2024
A Universal Class of Sharpness-Aware Minimization Algorithms B. Tahmasebi Ashkan Soleymani Dara Bahri Stefanie Jegelka Patrick Jaillet AAML 83 3 0 06 Jun 2024
DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain Jun Liu Jiantao Zhou Jiandian Zeng Jinyu Tian Zheng Li 88 0 0 05 Jun 2024
Nonlinear Transformations Against Unlearnable Datasets T. Hapuarachchi Jing Lin Kaiqi Xiong Mohamed Rahouti Gitte Ost 89 1 0 05 Jun 2024
ZeroPur: Succinct Training-Free Adversarial Purification Xiuli Bi Zonglin Yang Bo Liu Xiaodong Cun Chi-Man Pun 133 0 0 05 Jun 2024
Distributional Adversarial Loss Saba Ahmadi Siddharth Bhandari Avrim Blum Chen Dan Prabhav Jain 81 0 0 05 Jun 2024
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing Youwei Shu Xi Xiao Derui Wang Yuxin Cao Siji Chen Jason Xue Linyi Li Yue Liu 80 2 0 04 Jun 2024
PuFace: Defending against Facial Cloaking Attacks for Facial Recognition Models Jing Wen PICV 46 0 0 04 Jun 2024
Inference Attacks: A Taxonomy, Survey, and Promising Directions Feng Wu Lei Cui Shaowen Yao Shui Yu 114 2 0 04 Jun 2024
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities G. Farnadi Mohammad Havaei Negar Rostamzadeh 82 3 0 03 Jun 2024
Invisible Backdoor Attacks on Diffusion Models Sen Li Junchi Ma Minhao Cheng WIGM 95 13 0 02 Jun 2024
Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud Sifat Ut Taki Spyridon Mastorakis FedML 78 1 0 02 Jun 2024
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data Thibault Simonetto Salah Ghamizi Maxime Cordy AAML OOD 94 5 0 02 Jun 2024
Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation Yuan Xiao Shiqing Ma Juan Zhai Chunrong Fang Jinyuan Jia Zhenyu Chen AAML 84 1 0 02 Jun 2024
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training Jiacheng Zhang Feng Liu Dawei Zhou Jingfeng Zhang Tongliang Liu AAML 65 4 0 02 Jun 2024
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack Lijia Yu Shuang Liu Yibo Miao Xiao-Shan Gao Lijun Zhang AAML 96 7 0 02 Jun 2024
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training Feiteng Fang Yuelin Bai Shiwen Ni Min Yang Xiaojun Chen Ruifeng Xu AAML RALM 137 40 0 31 May 2024
Robust Stable Spiking Neural Networks Jianhao Ding Zhiyu Pan Yujia Liu Zhaofei Yu Tiejun Huang AAML 102 7 0 31 May 2024
Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations Davide Coppola Hwee Kuan Lee AAML 87 1 0 31 May 2024
"Forgetting" in Machine Learning and Beyond: A Survey Alyssa Shuang Sha Bernardo Pereira Nunes Armin Haller MU KELM 127 1 0 31 May 2024
Neural Network Verification with Branch-and-Bound for General Nonlinearities Zhouxing Shi Qirui Jin Zico Kolter Suman Jana Cho-Jui Hsieh Huan Zhang 103 18 0 31 May 2024
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents Ethan Rathbun Christopher Amato Alina Oprea OffRL AAML 76 6 0 30 May 2024
Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images Krishnakant Singh Thanush Navaratnam Jannik Holmer Simone Schaub-Meyer Stefan Roth DiffM 99 21 0 30 May 2024
HOLMES: to Detect Adversarial Examples with Multiple Detectors Jing Wen AAML 80 0 0 30 May 2024
BAN: Detecting Backdoors Activated by Adversarial Neuron Noise Xiaoyun Xu Zhuoran Liu Stefanos Koffas Shujian Yu S. Picek AAML 58 1 0 30 May 2024
Enhancing Adversarial Robustness in SNNs with Sparse Gradients Yujia Liu Tong Bu Jianhao Ding Zecheng Hao Tiejun Huang Zhaofei Yu AAML 99 5 0 30 May 2024
Evaluating the Effectiveness and Robustness of Visual Similarity-based Phishing Detection Models Fujiao Ji Kiho Lee Hyungjoon Koo Wenhao You Euijin Choo Hyoungshick Kim Doowon Kim AAML 99 2 0 30 May 2024
Transfer Attack for Bad and Good: Explain and Boost Adversarial Transferability across Multimodal Large Language Models Hao-Ran Cheng Erjia Xiao Jiayan Yang Jinhao Duan Yichi Wang ... Qiang Zhang Le Yang Kaidi Xu Jindong Gu Renjing Xu AAML 137 10 0 30 May 2024
FTS: A Framework to Find a Faithful TimeSieve Songning Lai Ninghui Feng Haochen Sui Ze Ma Hao Wang Zichen Song Hang Zhao Yutao Yue AI4TS 159 17 0 30 May 2024
AI Risk Management Should Incorporate Both Safety and Security Xiangyu Qi Yangsibo Huang Yi Zeng Edoardo Debenedetti Jonas Geiping ... Chaowei Xiao Yue Liu Dawn Song Peter Henderson Prateek Mittal AAML 117 12 0 29 May 2024
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies Yipu Chen Haotian Xue Yongxin Chen AAML 62 5 0 29 May 2024
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior Shuyu Cheng Yibo Miao Yinpeng Dong Xiao Yang Xiao-Shan Gao Jun Zhu AAML 99 5 0 29 May 2024
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning Dipam Goswami Albin Soutif--Cormerais Yuyang Liu Sandesh Kamath Bartlomiej Twardowski Joost van de Weijer AAML 79 19 0 29 May 2024
Verifiably Robust Conformal Prediction Linus Jeary Tom Kuipers Mehran Hosseini Nicola Paoletti AAML 89 6 0 29 May 2024
EntProp: High Entropy Propagation for Improving Accuracy and Robustness Shohei Enomoto AAML 109 1 0 29 May 2024
Watermarking Counterfactual Explanations Hangzhi Guo Amulya Yadav AAML 68 0 0 29 May 2024
PureEBM: Universal Poison Purification via Mid-Run Dynamics of Energy-Based Models Omead Brandon Pooladzandi Jeffrey Q. Jiang Sunay Bhat Gregory Pottie AAML 53 0 0 28 May 2024
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics Sunay Bhat Jeffrey Q. Jiang Omead Brandon Pooladzandi Alexander Branch Gregory Pottie AAML 98 2 0 28 May 2024
Single-loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions Quanqi Hu Qi Qi Zhaosong Lu Tianbao Yang 103 2 0 28 May 2024
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks Zhenxing Niu Yuyao Sun Qiguang Miao Rong Jin Gang Hua AAML 70 7 0 28 May 2024
White-box Multimodal Jailbreaks Against Large Vision-Language Models Ruofan Wang Xingjun Ma Hanxu Zhou Chuanjun Ji Guangnan Ye Yu-Gang Jiang AAML VLM 84 24 0 28 May 2024
PeerFL: A Simulator for Peer-to-Peer Federated Learning at Scale Alka Luqman Shivanshu Shekhar Anupam Chattopadhyay FedML 78 0 0 28 May 2024
A One-Layer Decoder-Only Transformer is a Two-Layer RNN: With an Application to Certified Robustness Yuhao Zhang Aws Albarghouthi Loris Dántoni OffRL 63 0 0 27 May 2024