Adversarial Training for Free!

29 April 2019

Papers citing "Adversarial Training for Free!"

50 / 702 papers shown

Title
Diff-CAPTCHA: An Image-based CAPTCHA with Security Enhanced by Denoising Diffusion Model Ran Jiang Sanfeng Zhang L. Liu Yanbin Peng DiffM 31 1 0 16 Aug 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection João Vitorino Isabel Praça Eva Maia AAML 30 22 0 13 Aug 2023
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation Xuantong Liu Yaoyao Zhong Yuhang Zhang Lixiong Qin Weihong Deng AAML 30 25 0 11 Aug 2023
AdvFAS: A robust face anti-spoofing framework against adversarial examples Jiawei Chen X. Yang Heng Yin Mingzhi Ma Bihui Chen Jianteng Peng Yandong Guo Z. Yin Han Su AAML CVBM 27 6 0 04 Aug 2023
FROD: Robust Object Detection for Free Muhammad Awais Awais Weiming Zhuang Zhuang Lingjuan Lingjuan Lyu Sung-Ho Sung-Ho Bae ObjD 29 1 0 03 Aug 2023
Hard Adversarial Example Mining for Improving Robust Fairness Chenhao Lin Xiang Ji Yulong Yang Q. Li Chao Shen Run Wang Liming Fang AAML 32 2 0 03 Aug 2023
VertexSerum: Poisoning Graph Neural Networks for Link Inference Ruyi Ding Shijin Duan Xiaolin Xu Yunsi Fei AAML GNN 51 4 0 02 Aug 2023
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning Yihua Zhang Prashant Khanduri Ioannis C. Tsaknakis Yuguang Yao Min-Fong Hong Sijia Liu AI4CE 44 25 0 01 Aug 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Yun Zhu Haizhou Shi Zhenshuo Zhang Siliang Tang 26 8 0 24 Jul 2023
Tackling the Curse of Dimensionality with Physics-Informed Neural Networks Zheyuan Hu K. Shukla George Karniadakis Kenji Kawaguchi PINN AI4CE 65 87 0 23 Jul 2023
Towards Building More Robust Models with Frequency Bias Qingwen Bu Dong Huang Heming Cui AAML 17 10 0 19 Jul 2023
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training Shouwei Ruan Yinpeng Dong Han Su Jianteng Peng Ning Chen Xingxing Wei OOD 35 9 0 16 Jul 2023
Omnipotent Adversarial Training in the Wild Guanlin Li Kangjie Chen Yuan Xu Han Qiu Tianwei Zhang 26 0 0 14 Jul 2023
Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems Eldor Abdukhamidov Mohammed Abuhamad Simon S. Woo Eric Chan-Tin Tamer Abuhmed AAML 27 1 0 13 Jul 2023
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency Yan Wang Yuhang Li Ruihao Gong Aishan Liu Yanfei Wang ... Yongqiang Yao Yunchen Zhang Tianzi Xiao F. Yu Xianglong Liu AAML 32 0 0 01 Jul 2023
Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection Huiming Sun Lan Fu Jinlong Li Qing Guo Zibo Meng Tianyun Zhang Yuewei Lin Hongkai Yu AAML 19 9 0 30 Jun 2023
Group-based Robustness: A General Framework for Customized Robustness in the Real World Weiran Lin Keane Lucas Neo Eyal Lujo Bauer Michael K. Reiter Mahmood Sharif OOD AAML 27 1 0 29 Jun 2023
On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection Songyang Gao Shihan Dou Qi Zhang Xuanjing Huang Jin Ma Yingchun Shan AAML 13 3 0 27 Jun 2023
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization Songyang Gao Shihan Dou Yan Liu Xiao Wang Qi Zhang Zhongyu Wei Jin Ma Yingchun Shan OOD 22 3 0 27 Jun 2023
Group Orthogonalization Regularization For Vision Models Adaptation and Robustness Yoav Kurtz Noga Bar Raja Giryes 29 0 0 16 Jun 2023
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations Y. Fu Ye Yuan Souvik Kundu Shang Wu Shunyao Zhang Yingyan Lin AAML 62 6 0 10 Jun 2023
A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions D. Thaker Paris V. Giampouras René Vidal AAML 24 0 0 07 Jun 2023
Enhance Diffusion to Improve Robust Generalization Jianhui Sun Sanchit Sinha Aidong Zhang 32 4 0 05 Jun 2023
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations Dou Hu Yinan Bao Lingwei Wei Wei Zhou Song Hu 29 51 0 02 Jun 2023
Towards Understanding Clean Generalization and Robust Overfitting in Adversarial Training Binghui Li Yuanzhi Li AAML 26 3 0 02 Jun 2023
Fourier Analysis on Robustness of Graph Convolutional Neural Networks for Skeleton-based Action Recognition Nariki Tanaka Hiroshi Kera K. Kawamoto AAML 28 5 0 29 May 2023
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models Kai Mei Zheng Li Zhenting Wang Yang Zhang Shiqing Ma AAML SILM 37 48 0 28 May 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors Xiao-Li Li Hang Chen Xiaolin Hu AAML 38 4 0 27 May 2023
Adversarial Attacks on Leakage Detectors in Water Distribution Networks Paul Stahlhofen André Artelt L. Hermes Barbara Hammer AAML 28 2 0 25 May 2023
The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks I. Frosio Jan Kautz AAML 29 15 0 23 May 2023
Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture Galen Pogoncheff Jacob Granley M. Beyeler AAML FAtt 11 9 0 18 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 40 50 0 18 May 2023
Noise robust neural network architecture Yunuo Xiong Hongwei Xiong 14 1 0 16 May 2023
Efficient Search of Comprehensively Robust Neural Architectures via Multi-fidelity Evaluation Jialiang Sun Wen Yao Tingsong Jiang Xiaoqian Chen AAML 40 9 0 12 May 2023
Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions Gokul Yenduri M. Ramalingam G. C. Selvi Y. Supriya Gautam Srivastava ... Rutvij H. Jhaveri B. Prabadevi Weizheng Wang Athanasios V. Vasilakos Thippa Reddy Gadekallu AI4CE LM&MA 20 166 0 11 May 2023
Convolutional Neural Networks Rarely Learn Shape for Semantic Segmentation Yixin Zhang Maciej Mazurowski 3DV 3DPC 30 8 0 11 May 2023
Sharpness-Aware Minimization Alone can Improve Adversarial Robustness Zeming Wei Jingyu Zhu Yihao Zhang AAML 32 10 0 09 May 2023
Toward Adversarial Training on Contextualized Language Representation Hongqiu Wu Yong-Jin Liu Han Shi Haizhen Zhao Hao Fei AAML 23 13 0 08 May 2023
Critical Scenario Generation for Developing Trustworthy Autonomy Wenhao Ding 13 0 0 29 Apr 2023
Adversary Aware Continual Learning Muhammad Umer R. Polikar AAML 23 2 0 27 Apr 2023
Moderately Distributional Exploration for Domain Generalization Ruiqi Dai Yonggang Zhang Zhen Fang Bo Han Xinmei Tian OOD 66 18 0 27 Apr 2023
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning Y. Fu Ye Yuan Shang Wu Jiayi Yuan Yingyan Lin OOD 56 3 0 24 Apr 2023
Wavelets Beat Monkeys at Adversarial Robustness Jingtong Su Julia Kempe AAML OOD 30 2 0 19 Apr 2023
JoB-VS: Joint Brain-Vessel Segmentation in TOF-MRA Images Natalia Valderrama Ioannis Pitsiorlas Luisa Vargas Pablo Arbelaez Maria A. Zuluaga 26 2 0 16 Apr 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications Anqi Mao M. Mohri Yutao Zhong AAML 29 275 0 14 Apr 2023
Uncertainty-Aware Vehicle Energy Efficiency Prediction using an Ensemble of Neural Networks Jihed Khiari Cristina Olaverri-Monreal 19 1 0 14 Apr 2023
False Claims against Model Ownership Resolution Jian-wei Liu Rui Zhang S. Szyller Kui Ren Nirmal Asokan AAML MLAU 31 11 0 13 Apr 2023
Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval Yanru Xiao Cong Wang Xing Gao AAML 18 0 0 09 Apr 2023
Reliable learning in challenging environments Maria-Florina Balcan Steve Hanneke Rattana Pukdee Dravyansh Sharma OOD 30 4 0 06 Apr 2023
Robust Neural Architecture Search Xunyu Zhu Jian Li Yong-Jin Liu Weiping Wang AAML 26 2 0 06 Apr 2023