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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
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation Ye Sun Hao Zhang Tiehua Zhang Xingjun Ma Yu-Gang Jiang VLM 89 4 0 13 Oct 2024
Understanding Robustness of Parameter-Efficient Tuning for Image Classification Jiacheng Ruan Xian Gao Suncheng Xiang Mingye Xie Ting Liu Yuzhuo Fu AAML VLM 44 0 0 13 Oct 2024
S $^4$ ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack Yongxiang Liu Bowen Peng Li Liu Xuzhao Li 381 0 0 13 Oct 2024
On the Adversarial Transferability of Generalized "Skip Connections" Yisen Wang Yichuan Mo Dongxian Wu Mingjie Li Xingjun Ma Zhouchen Lin AAML 72 2 0 11 Oct 2024
JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework Fan Liu Yue Feng Zhao Xu Lixin Su Xinyu Ma D. Yin Hao Liu ELM 105 15 0 11 Oct 2024
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning Nusrat Jahan Prottasha Asif Mahmud Md. Shohanur Islam Sobuj Prakash Bhat Md. Kowsher Niloofar Yousefi O. Garibay 113 7 0 11 Oct 2024
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL C. Voelcker Marcel Hussing Eric Eaton Amir-massoud Farahmand Igor Gilitschenski 135 5 0 11 Oct 2024
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data Binghui Li Yuanzhi Li OOD 94 4 0 11 Oct 2024
Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation Tomas Bueno Momcilovic Beat Buesser Giulio Zizzo Mark Purcell Tomas Bueno Momcilovic AAML 60 2 0 10 Oct 2024
Understanding Adversarially Robust Generalization via Weight-Curvature Index Yuelin Xu Xiao Zhang AAML 61 0 0 10 Oct 2024
Adversarial Robustness Overestimation and Instability in TRADES Jonathan Weiping Li Ren-Wei Liang Cheng-Han Yeh Cheng-Chang Tsai Kuanchun Yu Chun-Shien Lu Shang-Tse Chen AAML 93 0 0 10 Oct 2024
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting Jiahao Lu Yifan Zhang Qiuhong Shen Xinchao Wang Shuicheng Yan 3DGS 140 2 0 10 Oct 2024
Online Epsilon Net and Piercing Set for Geometric Concepts Sujoy Bhore Devdan Dey Satyam Singh 33 1 0 09 Oct 2024
Faithful Interpretation for Graph Neural Networks Lijie Hu Tianhao Huang Lu Yu Wanyu Lin Tianhang Zheng Di Wang 76 3 0 09 Oct 2024
Adversarial Vulnerability as a Consequence of On-Manifold Inseparibility Rajdeep Haldar Yue Xing Qifan Song Guang Lin 52 0 0 09 Oct 2024
Break the Visual Perception: Adversarial Attacks Targeting Encoded Visual Tokens of Large Vision-Language Models Yubo Wang Chaohu Liu Yanqiu Qu Haoyu Cao Deqiang Jiang Linli Xu MLLM AAML 52 3 0 09 Oct 2024
Can DeepFake Speech be Reliably Detected? Hongbin Liu Youzheng Chen Arun Narayanan Athula Balachandran Pedro J. Moreno Lun Wang AAML 88 1 0 09 Oct 2024
Average Certified Radius is a Poor Metric for Randomized Smoothing Chenhao Sun Yuhao Mao Mark Niklas Muller Martin Vechev AAML 116 0 0 09 Oct 2024
JPEG Inspired Deep Learning Ahmed H. Salamah Kaixiang Zheng Yiwen Liu En-Hui Yang 96 1 0 09 Oct 2024
Secure Video Quality Assessment Resisting Adversarial Attacks Ao Zhang Yu Ran Weixuan Tang Yuan-Gen Wang Qingxiao Guan Chunsheng Yang AAML 73 0 0 09 Oct 2024
An Undetectable Watermark for Generative Image Models Sam Gunn Xuandong Zhao Dawn Song WIGM 142 20 0 09 Oct 2024
Filtered Randomized Smoothing: A New Defense for Robust Modulation Classification Wenhan Zhang Meiyu Zhong Ravi Tandon Marwan Krunz AAML 69 1 0 08 Oct 2024
Unsupervised Model Diagnosis Yinong Wang Eileen Li Jinqi Luo Zhaoning Wang Fernando de la Torre AAML 67 1 0 08 Oct 2024
Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing Andreas Loukas Karolis Martinkus Ed Wagstaff Kyunghyun Cho OOD 82 1 0 08 Oct 2024
Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models Kangtao Lv Huangsen Cao Kainan Tu Yihuai Xu Zhimeng Zhang Xin Ding Yongwei Wang MoMe AAML VLM 53 1 0 08 Oct 2024
CALoR: Towards Comprehensive Model Inversion Defense Hongyao Yu Yixiang Qiu Hao Fang Bin Chen Sijin Yu Bin Wang Shu-Tao Xia Ke Xu 84 1 0 08 Oct 2024
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing June Suk Choi Kyungmin Lee Jongheon Jeong Saining Xie Jinwoo Shin Kimin Lee DiffM AAML 65 4 0 08 Oct 2024
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 83 2 0 07 Oct 2024
LOTOS: Layer-wise Orthogonalization for Training Robust Ensembles A. Boroojeny Hari Sundaram Varun Chandrasekaran AAML 62 1 0 07 Oct 2024
Collaboration! Towards Robust Neural Methods for Routing Problems Jianan Zhou Yaoxin Wu Zhiguang Cao Wen Song Jie Zhang Zhiqi Shen AAML 79 3 0 07 Oct 2024
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing Sarah H. Cen Rohan Alur 113 5 0 07 Oct 2024
Double Oracle Neural Architecture Search for Game Theoretic Deep Learning Models Aye Phyu Phyu Aung Xinrun Wang Ruiyu Wang Hau Chan Bo An Xiaoli Li J. Senthilnath AAML 53 0 0 07 Oct 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Yongyi Su Yushu Li Nanqing Liu Kui Jia Xulei Yang Chuan-Sheng Foo Xun Xu TTA AAML 161 1 0 07 Oct 2024
Robustness Reprogramming for Representation Learning Zhichao Hou MohamadAli Torkamani Hamid Krim Xiaorui Liu AAML OOD 81 1 0 06 Oct 2024
Impact of Regularization on Calibration and Robustness: from the Representation Space Perspective Jonghyun Park Juyeop Kim Jong-Seok Lee 79 1 0 05 Oct 2024
Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks Zi Wang Divyam Anshumaan Ashish Hooda Yudong Chen Somesh Jha AAML 96 0 0 05 Oct 2024
A Brain-Inspired Regularizer for Adversarial Robustness Elie Attias Cengiz Pehlevan D. Obeid AAML OOD 71 0 0 04 Oct 2024
Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation Hanjiang Hu Yujie Yang Tianhao Wei Changliu Liu AAML 68 9 0 04 Oct 2024
Gradient-based Jailbreak Images for Multimodal Fusion Models Javier Rando Hannah Korevaar Erik Brinkman Ivan Evtimov Florian Tramèr AAML 78 3 0 04 Oct 2024
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction Shijin Duan Ruyi Ding Jiaxing He A. A. Ding Yunsi Fei Xiaolin Xu 51 0 0 04 Oct 2024
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization Tung M. Luu Thanh Nguyen Tee Joshua Tian Jin Sungwoon Kim Chang D. Yoo AAML 83 0 0 04 Oct 2024
Towards Universal Certified Robustness with Multi-Norm Training Enyi Jiang Gagandeep Singh Gagandeep Singh AAML 136 1 0 03 Oct 2024
HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router Lingrui Mei Shenghua Liu Yiwei Wang Baolong Bi Ruibin Yuan Xueqi Cheng 113 5 0 03 Oct 2024
Obtaining Lower Query Complexities through Lightweight Zeroth-Order Proximal Gradient Algorithms Bin Gu Xiyuan Wei Hualin Zhang Yi Chang Heng-Chiao Huang FedML 64 0 0 03 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 415 0 0 03 Oct 2024
Impact of White-Box Adversarial Attacks on Convolutional Neural Networks Rakesh Podder Sudipto Ghosh AAML 60 1 0 02 Oct 2024
Learning-Augmented Robust Algorithmic Recourse Kshitij Kayastha Vasilis Gkatzelis Shahin Jabbari 84 0 0 02 Oct 2024
FlipAttack: Jailbreak LLMs via Flipping Yue Liu Xiaoxin He Miao Xiong Jinlan Fu Shumin Deng Bryan Hooi AAML 98 17 0 02 Oct 2024
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution Gabriel Kasmi Amandine Brunetto Thomas Fel Jayneel Parekh AAML FAtt 87 0 0 02 Oct 2024
On Using Certified Training towards Empirical Robustness Alessandro De Palma Serge Durand Zakaria Chihani François Terrier Caterina Urban OOD AAML 114 1 0 02 Oct 2024