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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,334 papers shown

Title
LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise He Tang Lin Wan He Wang 97 21 0 27 Oct 2022
Efficient and Effective Augmentation Strategy for Adversarial Training Sravanti Addepalli Samyak Jain R. Venkatesh Babu AAML 129 60 0 27 Oct 2022
Isometric 3D Adversarial Examples in the Physical World Yibo Miao Yinpeng Dong Junyi Zhu Xiao-Shan Gao 104 32 0 27 Oct 2022
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack Yu Cao Dianqi Li Meng Fang Dinesh Manocha Jun Gao Yibing Zhan Dacheng Tao AAML 83 17 0 27 Oct 2022
Watermarking for Out-of-distribution Detection Qizhou Wang Feng Liu Yonggang Zhang Jing Zhang Chen Gong Tongliang Liu Bo Han OODD 88 32 0 27 Oct 2022
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting Peng-Fei Hou Jie Han Xingyu Li AAML OOD 40 11 0 26 Oct 2022
There is more than one kind of robustness: Fooling Whisper with adversarial examples R. Olivier Bhiksha Raj AAML 89 12 0 26 Oct 2022
Disentangled Text Representation Learning with Information-Theoretic Perspective for Adversarial Robustness Jiahao Zhao Wenji Mao DRL OOD 61 3 0 26 Oct 2022
Uncertainty Sentence Sampling by Virtual Adversarial Perturbation Han Zhang Zhen Zhang Hongfei Jiang Yang Song 40 0 0 26 Oct 2022
LP-BFGS attack: An adversarial attack based on the Hessian with limited pixels Jiebao Zhang Wenhua Qian Ren-qi Nie Jinde Cao Dan Xu AAML 68 6 0 26 Oct 2022
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes Sina Baharlouei Fatemeh Sheikholeslami Meisam Razaviyayn Zico Kolter AAML 85 6 0 26 Oct 2022
Adversarial Purification with the Manifold Hypothesis Zhaoyuan Yang Zhiwei Xu Jing Zhang Leonid Sigal Peter Tu AAML 99 5 0 26 Oct 2022
Accelerating Certified Robustness Training via Knowledge Transfer Pratik Vaishnavi Kevin Eykholt Amir Rahmati 68 7 0 25 Oct 2022
Learning to Augment via Implicit Differentiation for Domain Generalization Ting-Hsiang Wang Da Li Kaiyang Zhou Tao Xiang Yi-Zhe Song 46 0 0 25 Oct 2022
A White-Box Adversarial Attack Against a Digital Twin Wilson Patterson Ivan A. Fernandez Subash Neupane M. Parmar Sudip Mittal Shahram Rahimi AAML 32 4 0 25 Oct 2022
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network Hua Hua Jun Yan Xi Fang Weiquan Huang Huilin Yin Wancheng Ge AAML 63 1 0 25 Oct 2022
Towards Formal XAI: Formally Approximate Minimal Explanations of Neural Networks Shahaf Bassan Guy Katz FAtt AAML 115 26 0 25 Oct 2022
A Streamlit-based Artificial Intelligence Trust Platform for Next-Generation Wireless Networks Murat Kuzlu Ferhat Ozgur Catak S. Sarp U. Cali O. Gueler 104 8 0 25 Oct 2022
Bridging Machine Learning and Sciences: Opportunities and Challenges Taoli Cheng UQCV OOD AI4CE 63 2 0 24 Oct 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses Adnan Qayyum M. A. Butt Hassan Ali Muhammad Usman O. Halabi Ala I. Al-Fuqaha Q. Abbasi Muhammad Ali Imran Junaid Qadir 84 37 0 24 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 116 38 0 24 Oct 2022
Ares: A System-Oriented Wargame Framework for Adversarial ML Farhan Ahmed Pratik Vaishnavi Kevin Eykholt Amir Rahmati AAML 70 7 0 24 Oct 2022
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future Guo-Jun Qi M. Shah SSL 78 8 0 23 Oct 2022
Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games Maria-Florina Balcan Rattana Pukdee Pradeep Ravikumar Hongyang R. Zhang AAML 97 12 0 23 Oct 2022
GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections Junyuan Fang Haixian Wen Jiajing Wu Qi Xuan Zibin Zheng Chi K. Tse AAML 101 22 0 23 Oct 2022
LMPriors: Pre-Trained Language Models as Task-Specific Priors Kristy Choi Chris Cundy Sanjari Srivastava Stefano Ermon BDL 112 43 0 22 Oct 2022
Hindering Adversarial Attacks with Implicit Neural Representations Andrei A. Rusu D. A. Calian Sven Gowal R. Hadsell AAML 171 4 0 22 Oct 2022
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation Wenhao Wu Wei Li Jiachen Liu Xinyan Xiao Sujian Li Yajuan Lyu 109 4 0 22 Oct 2022
A Benchmark Study of Contrastive Learning for Arabic Social Meaning Md. Tawkat Islam Khondaker El Moatez Billah Nagoudi AbdelRahim Elmadany Muhammad Abdul-Mageed L. Lakshmanan 91 4 0 22 Oct 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables Mengdi Xu Peide Huang Yaru Niu Visak C. V. Kumar Jielin Qiu ... Kuan-Hui Lee Xuewei Qi Henry Lam Yue Liu Ding Zhao OOD 115 9 0 21 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 122 5 0 21 Oct 2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training Noel Loo Ramin Hasani Alexander Amini Daniela Rus AAML 86 13 0 21 Oct 2022
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation Ziqi Wang Yuexin Wu Frederick Liu Daogao Liu Le Hou Hongkun Yu Jing Li Heng Ji 81 5 0 21 Oct 2022
$LOT: Layer-wise Orthogonal Training on Improving $\ell_2$ Certified Robustness$ LOT: Layer-wise Orthogonal Training on Improving $\ell_2$ Certified Robustness Xiaojun Xu Linyi Li Yue Liu OOD AAML 91 34 0 20 Oct 2022
Learning Sample Reweighting for Accuracy and Adversarial Robustness Chester Holtz Tsui-Wei Weng Zhengchao Wan OOD 77 4 0 20 Oct 2022
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models Hannah Chen Yangfeng Ji David Evans SILM AAML 64 4 0 20 Oct 2022
Similarity of Neural Architectures using Adversarial Attack Transferability Ian Ryu Dongyoon Han Byeongho Heo Song Park Sanghyuk Chun Jong-Seok Lee AAML 136 2 0 20 Oct 2022
Chaos Theory and Adversarial Robustness Jonathan S. Kent AAML 72 0 0 20 Oct 2022
Window-Based Distribution Shift Detection for Deep Neural Networks Guy Bar-Shalom Yonatan Geifman Ran El-Yaniv 58 4 0 19 Oct 2022
Propagating Variational Model Uncertainty for Bioacoustic Call Label Smoothing Georgios Rizos J. Lawson Simon Mitchell Pranay Shah Xin Wen Cristina Banks‐Leite R. Ewers Bjoern W. Schuller UQCV 59 2 0 19 Oct 2022
Learning Transferable Adversarial Robust Representations via Multi-view Consistency Minseon Kim Hyeonjeong Ha Dong Bok Lee Sung Ju Hwang 69 0 0 19 Oct 2022
Effective Targeted Attacks for Adversarial Self-Supervised Learning Minseon Kim Hyeonjeong Ha Sooel Son Sung Ju Hwang AAML 75 3 0 19 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 98 6 0 19 Oct 2022
On the Adversarial Robustness of Mixture of Experts J. Puigcerver Rodolphe Jenatton C. Riquelme Pranjal Awasthi Srinadh Bhojanapalli OOD AAML MoE 106 18 0 19 Oct 2022
Scaling Adversarial Training to Large Perturbation Bounds Sravanti Addepalli Samyak Jain Gaurang Sriramanan R. Venkatesh Babu AAML 115 23 0 18 Oct 2022
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models Lan Jiang Hao Zhou Yankai Lin Peng Li Jie Zhou R. Jiang AAML 84 8 0 18 Oct 2022
Towards Generating Adversarial Examples on Mixed-type Data Han Xu Menghai Pan Zhimeng Jiang Huiyuan Chen Xiaoting Li Mahashweta Das Hao Yang AAML SILM 110 0 0 17 Oct 2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems Pouria Mahdavinia Yuyang Deng Haochuan Li M. Mahdavi 117 13 0 17 Oct 2022
Probabilistic Categorical Adversarial Attack & Adversarial Training Han Xu Penghei He Jie Ren Yuxuan Wan Zitao Liu Hui Liu Jiliang Tang AAML SILM 54 0 0 17 Oct 2022
Pseudo-OOD training for robust language models Dhanasekar Sundararaman Nikhil Mehta Lawrence Carin 60 0 0 17 Oct 2022