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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
From NeurODEs to AutoencODEs: a mean-field control framework for width-varying Neural Networks Cristina Cipriani M. Fornasier Alessandro Scagliotti AI4CE 117 5 0 05 Jul 2023
Adversarial Attacks on Image Classification Models: FGSM and Patch Attacks and their Impact Jaydip Sen S. Dasgupta AAML SILM 39 10 0 05 Jul 2023
Ranking with Abstention Anqi Mao M. Mohri Yutao Zhong 70 19 0 05 Jul 2023
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling Zhan Hu Wen-Sheng Chu Xiaopei Zhu Hui Zhang Bo Zhang Xiaolin Hu 83 31 0 04 Jul 2023
Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting Chen Chen Yufei Wang Aixin Sun Bing Li Kwok-Yan Lam 101 46 0 04 Jul 2023
LEAT: Towards Robust Deepfake Disruption in Real-World Scenarios via Latent Ensemble Attack Joonkyo Shim H. Yoon DiffM AAML 115 2 0 04 Jul 2023
SCAT: Robust Self-supervised Contrastive Learning via Adversarial Training for Text Classification J. Wu Dit-Yan Yeung SILM 76 0 0 04 Jul 2023
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality Yunhui Guo Youren Zhang Yubei Chen Stella X. Yu 46 3 0 04 Jul 2023
Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives Daniele Lunghi A. Simitsis O. Caelen Gianluca Bontempi AAML FaML 106 4 0 03 Jul 2023
Reliable AI: Does the Next Generation Require Quantum Computing? Aras Bacho Holger Boche Gitta Kutyniok 47 2 0 03 Jul 2023
Human in the AI loop via xAI and Active Learning for Visual Inspection Jože M. Rožanec E. Montini Vincenzo Cutrona Dimitrios Papamartzivanos Timotej Klemencic B. Fortuna Dunja Mladenić Entso Veliou Thanassis Giannetsos C. Emmanouilidis 70 4 0 03 Jul 2023
Enhancing the Robustness of QMIX against State-adversarial Attacks Weiran Guo Guanjun Liu Ziyuan Zhou Ling Wang Jiacun Wang AAML 65 9 0 03 Jul 2023
Morse Neural Networks for Uncertainty Quantification Benoit Dherin Huiyi Hu Jie Jessie Ren Michael W. Dusenberry Balaji Lakshminarayanan UQCV AI4CE 41 4 0 02 Jul 2023
Defending Against Poisoning Attacks in Federated Learning with Blockchain Nanqing Dong Zhipeng Wang Jiahao Sun Michael C. Kampffmeyer William Knottenbelt Eric P. Xing OOD AAML 92 18 0 02 Jul 2023
Query-Efficient Decision-based Black-Box Patch Attack Zhaoyu Chen Yue Liu Shuang Wu Shouhong Ding Wenqiang Zhang AAML 87 36 0 02 Jul 2023
Brightness-Restricted Adversarial Attack Patch Mingzhen Shao AAML 47 1 0 01 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 118 9 0 01 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 80 0 0 01 Jul 2023
Accelerating Inexact HyperGradient Descent for Bilevel Optimization Hai-Long Yang Luo Luo C. J. Li Michael I. Jordan 96 13 0 30 Jun 2023
Comparing Reinforcement Learning and Human Learning using the Game of Hidden Rules Eric Pulick Vladimir Menkov Yonatan Dov Mintz Paul B. Kantor Vicki M. Bier OffRL 31 0 0 30 Jun 2023
Beyond Neural-on-Neural Approaches to Speaker Gender Protection L. V. Bemmel Zhuoran Liu Nik Vaessen Martha Larson AAML 46 2 0 30 Jun 2023
Navigating Noise: A Study of How Noise Influences Generalisation and Calibration of Neural Networks Martin Ferianc Ondrej Bohdal Timothy M. Hospedales Miguel R. D. Rodrigues 61 4 0 30 Jun 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 78 10 0 30 Jun 2023
Designing Stable Neural Networks using Convex Analysis and ODEs Ferdia Sherry E. Celledoni Matthias Joachim Ehrhardt Davide Murari B. Owren Carola-Bibiane Schönlieb 108 12 0 29 Jun 2023
Post-train Black-box Defense via Bayesian Boundary Correction He Wang Yunfeng Diao AAML 89 1 0 29 Jun 2023
CLIPAG: Towards Generator-Free Text-to-Image Generation Roy Ganz Michael Elad VLM 82 8 0 29 Jun 2023
Towards Optimal Randomized Strategies in Adversarial Example Game Jiahao Xie Chao Zhang Weijie Liu Wensong Bai Hui Qian AAML 56 0 0 29 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 91 1 0 29 Jun 2023
Does Saliency-Based Training bring Robustness for Deep Neural Networks in Image Classification? Ali Karkehabadi FAtt AAML 42 0 0 28 Jun 2023
Mitigating Accuracy-Robustness Trade-off via Balanced Multi-Teacher Adversarial Distillation Shiji Zhao Xizhe Wang Xingxing Wei AAML 97 11 0 28 Jun 2023
Distributional Modeling for Location-Aware Adversarial Patches Xingxing Wei Shouwei Ruan Yinpeng Dong Hang Su DiffM 71 4 0 28 Jun 2023
Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack Jie Ning Jiebao Sun Yao Li Zhichang Guo Wangmeng Zuo 76 6 0 28 Jun 2023
Boosting Adversarial Transferability with Learnable Patch-wise Masks Xingxing Wei Shiji Zhao AAML 87 10 0 28 Jun 2023
MAT: Mixed-Strategy Game of Adversarial Training in Fine-tuning Zhehua Zhong Tianyi Chen Zhen Wang AAML 59 3 0 27 Jun 2023
Next Steps for Human-Centered Generative AI: A Technical Perspective Xiang Ánthony' Chen Jeff Burke Andrea Colaço Matthew K. Hong Jennifer Jacobs ... Dingzeyu Li Nanyun Peng Karl D. D. Willis Chien-Sheng Wu Bolei Zhou LLMAG 95 35 0 27 Jun 2023
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets Yimu Wang Dinghuai Zhang Yihan Wu Heng Huang Hongyang R. Zhang AAML 57 1 0 27 Jun 2023
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning Hong Joo Lee Yonghyun Ro AAML 67 4 0 27 Jun 2023
Advancing Adversarial Training by Injecting Booster Signal Hong Joo Lee Youngjoon Yu Yonghyun Ro AAML 71 3 0 27 Jun 2023
Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability Marco Alecci Mauro Conti Francesco Marchiori L. Martinelli Luca Pajola AAML 83 10 0 27 Jun 2023
Explainability is NOT a Game Sasha Rubin Xuanxiang Huang 73 19 0 27 Jun 2023
FAIRER: Fairness as Decision Rationale Alignment Tianlin Li Qing Guo Aishan Liu Mengnan Du Zhiming Li Yang Liu 60 16 0 27 Jun 2023
A Survey on Out-of-Distribution Evaluation of Neural NLP Models Xinzhe Li Ming Liu Shang Gao Wray Buntine 74 20 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 64 4 0 27 Jun 2023
The Underlying Scaling Laws and Universal Statistical Structure of Complex Datasets Noam Levi Yaron Oz 127 4 0 26 Jun 2023
On the Resilience of Machine Learning-Based IDS for Automotive Networks Ivo Zenden Han Wang Alfonso Iacovazzi A. Vahidi R. Blom S. Raza AAML 56 6 0 26 Jun 2023
3D-Aware Adversarial Makeup Generation for Facial Privacy Protection Yueming Lyu Yue Jiang Ziwen He Bo Peng Yunfan Liu Jing Dong PICV AAML 92 9 0 26 Jun 2023
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security Harriet Farlow Matthew A. Garratt G. Mount T. Lynar AAML 62 1 0 26 Jun 2023
Computational Asymmetries in Robust Classification Samuele Marro M. Lombardi AAML 44 0 0 25 Jun 2023
Enhancing Adversarial Training via Reweighting Optimization Trajectory Tianjin Huang Shiwei Liu Tianlong Chen Meng Fang Lijuan Shen Vlaod Menkovski Lu Yin Yulong Pei Mykola Pechenizkiy AAML 84 5 0 25 Jun 2023
A Spectral Perspective towards Understanding and Improving Adversarial Robustness Binxiao Huang Rui Lin Chaofan Tao Ngai Wong AAML 80 0 0 25 Jun 2023