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Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

50 / 4,016 papers shown

Title
GIT: Detecting Uncertainty, Out-Of-Distribution and Adversarial Samples using Gradients and Invariance Transformations Julia Lust Alexandru Paul Condurache AAML UQCV 61 0 0 05 Jul 2023
Transgressing the boundaries: towards a rigorous understanding of deep learning and its (non-)robustness C. Hartmann Lorenz Richter AAML 64 2 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
Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction Zitao Chen Karthik Pattabiraman 84 24 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
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 118 9 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 78 10 0 30 Jun 2023
Scaling Model Checking for DNN Analysis via State-Space Reduction and Input Segmentation (Extended Version) Mahum Naseer Osman Hasan Mohamed Bennai 40 2 0 29 Jun 2023
CLIPAG: Towards Generator-Free Text-to-Image Generation Roy Ganz Michael Elad VLM 82 8 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
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
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
The Underlying Scaling Laws and Universal Statistical Structure of Complex Datasets Noam Levi Yaron Oz 127 4 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
On Evaluating the Adversarial Robustness of Semantic Segmentation Models L. Halmosi Márk Jelasity AAML VLM 112 1 0 25 Jun 2023
Adversarial Robustness Certification for Bayesian Neural Networks Matthew Wicker A. Patané Luca Laurenti Marta Z. Kwiatkowska AAML 83 3 0 23 Jun 2023
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models Francesco Croce Naman D. Singh Matthias Hein VLM 87 10 0 22 Jun 2023
Rethinking the Backward Propagation for Adversarial Transferability Xiaosen Wang Kangheng Tong Kun He AAML SILM 131 29 0 22 Jun 2023
Adversarial Attacks Neutralization via Data Set Randomization Mouna Rabhi Roberto Di Pietro AAML 70 0 0 21 Jun 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 126 12 0 21 Jun 2023
Physics-constrained Attack against Convolution-based Human Motion Prediction Chengxu Duan Zhicheng Zhang Xiaoli Liu Yonghao Dang Jianqin Yin AAML 3DH 93 1 0 21 Jun 2023
Reversible Adversarial Examples with Beam Search Attack and Grayscale Invariance Hao Zhang Chi Man Pun Xia Du AAML 55 0 0 20 Jun 2023
Adversarial Training Should Be Cast as a Non-Zero-Sum Game Alexander Robey Fabian Latorre George J. Pappas Hamed Hassani Volkan Cevher AAML 158 13 0 19 Jun 2023
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses M. Ferrag Othmane Friha B. Kantarci Norbert Tihanyi Lucas C. Cordeiro Merouane Debbah Djallel Hamouda Muna Al-Hawawreh K. Choo 166 51 0 17 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Yuxuan Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 229 117 0 16 Jun 2023
Group Orthogonalization Regularization For Vision Models Adaptation and Robustness Yoav Kurtz Noga Bar Raja Giryes 60 0 0 16 Jun 2023
Towards Better Certified Segmentation via Diffusion Models Othmane Laousy Alexandre Araujo G. Chassagnon M. Revel S. Garg Farshad Khorrami Maria Vakalopoulou DiffM 86 2 0 16 Jun 2023
Wasserstein distributional robustness of neural networks Xingjian Bai Guangyi He Yifan Jiang J. Obłój OOD AAML 100 7 0 16 Jun 2023
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks Cai Kang Yinpeng Dong Zhengyi Wang Shouwei Ruan Yubo Chen Hang Su Xingxing Wei AAML DiffM 100 11 0 15 Jun 2023
X-Detect: Explainable Adversarial Patch Detection for Object Detectors in Retail Omer Hofman Amit Giloni Yarin Hayun I. Morikawa Toshiya Shimizu Yuval Elovici A. Shabtai AAML 90 4 0 14 Jun 2023
Global-Local Processing in Convolutional Neural Networks Z. Rezvani Soroor Shekarizeh Mohammad Sabokrou 18 0 0 14 Jun 2023
Maestro: A Gamified Platform for Teaching AI Robustness Margarita Geleta Jiacen Xu Manikanta Loya Junlin Wang Sameer Singh Zhou Li Sergio Gago-Masague 59 2 0 14 Jun 2023
Finite Gaussian Neurons: Defending against adversarial attacks by making neural networks say "I don't know" Félix Grèzes AAML 26 0 0 13 Jun 2023
Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis Yi Ma Zhengyu Zhao Xinlei He Zheng Li Michael Backes Yang Zhang AAML WIGM 90 21 0 13 Jun 2023
Robustness of SAM: Segment Anything Under Corruptions and Beyond Yu Qiao Chaoning Zhang Taegoo Kang Donghun Kim Chenshuang Zhang Choong Seon Hong AAML 56 34 0 13 Jun 2023
I See Dead People: Gray-Box Adversarial Attack on Image-To-Text Models Raz Lapid Moshe Sipper AAML 112 17 0 13 Jun 2023
On Achieving Optimal Adversarial Test Error Justin D. Li Matus Telgarsky AAML 64 2 0 13 Jun 2023
AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation Lin Li Jianing Qiu Michael W. Spratling AAML 63 4 0 12 Jun 2023
Frequency-Based Vulnerability Analysis of Deep Learning Models against Image Corruptions Harshitha Machiraju Michael H. Herzog P. Frossard 64 0 0 12 Jun 2023
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework Minglei Yin Bin Liu Neil Zhenqiang Gong Xin Li AAML 55 1 0 11 Jun 2023
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing Sravanti Addepalli Samyak Jain Gaurang Sriramanan R. Venkatesh Babu AAML 52 6 0 10 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 130 6 0 10 Jun 2023
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions Ezgi Korkmaz Jonah Brown-Cohen AAML 70 9 0 09 Jun 2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima Zhijin Ge Hongying Liu Xiaosen Wang Fanhua Shang Yuanyuan Liu AAML 96 50 0 08 Jun 2023