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Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

50 / 4,017 papers shown

Title
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization Z. Yin Shaowei Zhu Han Su Jianteng Peng Wanli Lyu Bin Luo AAML 67 3 0 08 May 2023
Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework Ruijia Wu Yuhang Wang Huafeng Shi Zhipeng Yu Yichao Wu Ding Liang DiffM 67 9 0 06 May 2023
Evading Watermark based Detection of AI-Generated Content Zhengyuan Jiang Jinghuai Zhang Neil Zhenqiang Gong WIGM 139 83 0 05 May 2023
Random Smoothing Regularization in Kernel Gradient Descent Learning Liang Ding Tianyang Hu Jiahan Jiang Donghao Li Wei Cao Yuan Yao 76 6 0 05 May 2023
Madvex: Instrumentation-based Adversarial Attacks on Machine Learning Malware Detection Yang Cai Felix Mächtle C. Daskalakis Volodymyr Bezsmertnyi T. Eisenbarth AAML 83 7 0 04 May 2023
On the Security Risks of Knowledge Graph Reasoning Zhaohan Xi Tianyu Du Changjiang Li Ren Pang S. Ji Xiapu Luo Xusheng Xiao Fenglong Ma Ting Wang 73 10 0 03 May 2023
New Adversarial Image Detection Based on Sentiment Analysis Yulong Wang Tianxiang Li Shenghong Li Xinnan Yuan W. Ni AAML 88 11 0 03 May 2023
Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection Huma Jamil Yajing Liu T. Caglar Christina Cole Nathaniel Blanchard Christopher Peterson Michael Kirby 71 4 0 02 May 2023
Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature Juanjuan Weng Zhiming Luo Dazhen Lin Shaozi Li Zhun Zhong AAML FedML 119 7 0 02 May 2023
Physical Adversarial Attacks for Surveillance: A Survey Kien Nguyen Thanh Tharindu Fernando Clinton Fookes Sridha Sridharan AAML 109 8 0 01 May 2023
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples Chenshuang Zhang Chaoning Zhang Taegoo Kang Donghun Kim Sung-Ho Bae In So Kweon AAML VLM 90 3 0 01 May 2023
The Power of Typed Affine Decision Structures: A Case Study Gerrit Nolte Maximilian Schlüter Alnis Murtovi Bernhard Steffen AAML 51 3 0 28 Apr 2023
Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization Shijie Cui Agus Sudjianto Aijun Zhang Runze Li AI4CE 102 11 0 26 Apr 2023
SHIELD: Thwarting Code Authorship Attribution Mohammed Abuhamad Changhun Jung David A. Mohaisen Daehun Nyang 52 0 0 26 Apr 2023
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization Anh-Vu Bui Trung Le He Zhao Quan Hung Tran Paul Montague Dinh Q. Phung AAML 73 0 0 26 Apr 2023
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks Ferheen Ayaz Idris Zakariyya José Cano S. Keoh Jeremy Singer D. Pau Mounia Kharbouche-Harrari 60 6 0 25 Apr 2023
Evaluating Adversarial Robustness on Document Image Classification Timothée Fronteau Arnaud Paran A. Shabou AAML 85 3 0 24 Apr 2023
Evading DeepFake Detectors via Adversarial Statistical Consistency Yang Hou Qing Guo Yihao Huang Xiaofei Xie Lei Ma Jianjun Zhao AAML 91 53 0 23 Apr 2023
StyLess: Boosting the Transferability of Adversarial Examples Kaisheng Liang Bin Xiao AAML 71 18 0 23 Apr 2023
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning Hangtao Zhang Zeming Yao L. Zhang Shengshan Hu Chao Chen Alan Liew Zhetao Li 77 12 0 21 Apr 2023
Jedi: Entropy-based Localization and Removal of Adversarial Patches Bilel Tarchoun Anouar Ben Khalifa Mohamed Ali Mahjoub Nael B. Abu-Ghazaleh Ihsen Alouani AAML 73 25 0 20 Apr 2023
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models Zaitang Li Pin-Yu Chen Tsung-Yi Ho AAML DiffM 61 4 0 19 Apr 2023
Towards the Transferable Audio Adversarial Attack via Ensemble Methods Feng Guo Zhengyi Sun Yuxuan Chen Lei Ju AAML 63 2 0 18 Apr 2023
RNN-Guard: Certified Robustness Against Multi-frame Attacks for Recurrent Neural Networks Yunruo Zhang Tianyu Du S. Ji Peng Tang Shanqing Guo AAML 64 2 0 17 Apr 2023
Evil from Within: Machine Learning Backdoors through Hardware Trojans Alexander Warnecke Julian Speith Janka Möller Konrad Rieck C. Paar AAML 213 3 0 17 Apr 2023
A Random-patch based Defense Strategy Against Physical Attacks for Face Recognition Systems Jiahao Xie Ye Luo Jianwei Lu AAML CVBM 35 3 0 16 Apr 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications Anqi Mao M. Mohri Yutao Zhong AAML 123 334 0 14 Apr 2023
Uncertainty-Aware Vehicle Energy Efficiency Prediction using an Ensemble of Neural Networks Jihed Khiari Cristina Olaverri-Monreal 60 2 0 14 Apr 2023
Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense Jingyuan Wang Yufan Wu Mingxuan Li Xin Lin Junjie Wu Chao Li AAML 69 13 0 14 Apr 2023
RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions Shaoyuan Xie Lingdong Kong Wenwei Zhang Jiawei Ren Liang Pan Kai-xiang Chen Ziwei Liu 95 25 0 13 Apr 2023
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser Astha Verma A. Subramanyam Siddhesh Bangar Naman Lal R. Shah Shiníchi Satoh 123 5 0 13 Apr 2023
Understanding Overfitting in Adversarial Training via Kernel Regression Teng Zhang Kang Li 63 2 0 13 Apr 2023
MLOps Spanning Whole Machine Learning Life Cycle: A Survey Fang Zhengxin Yuan Yi Zhang Jingyu Liu Yue Mu Yuechen ... Xu Xiwei Wang Jeff Wang Chen Zhang Shuai Chen Shiping 56 4 0 13 Apr 2023
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training Juntao Tan Shelby Heinecke Zhiwei Liu Yong-Guang Chen Yongfeng Zhang Haiquan Wang AAML 72 5 0 11 Apr 2023
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense Yue-li Cui Syed Imran Ali Meerza Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu AAML FedML 91 5 0 11 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 188 163 0 11 Apr 2023
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence Hanbin Hong Xinyu Zhang Binghui Wang Zhongjie Ba Yuan Hong AAML 83 3 0 10 Apr 2023
Unsupervised Multi-Criteria Adversarial Detection in Deep Image Retrieval Yanru Xiao Cong Wang Xing Gao AAML 132 0 0 09 Apr 2023
RobCaps: Evaluating the Robustness of Capsule Networks against Affine Transformations and Adversarial Attacks Alberto Marchisio Antonio De Marco Alessio Colucci Maurizio Martina Mohamed Bennai AAML 62 2 0 08 Apr 2023
Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack Dashan Gao Yunce Zhao Yinghua Yao Zeqi Zhang Bifei Mao Xin Yao AAML 68 0 0 08 Apr 2023
Reliable learning in challenging environments Maria-Florina Balcan Steve Hanneke Rattana Pukdee Dravyansh Sharma OOD 82 6 0 06 Apr 2023
Improving Visual Question Answering Models through Robustness Analysis and In-Context Learning with a Chain of Basic Questions Jia-Hong Huang Modar Alfadly Guohao Li Marcel Worring OOD AAML 87 6 0 06 Apr 2023
Probing the Purview of Neural Networks via Gradient Analysis Jinsol Lee Charles Lehman Mohit Prabhushankar Ghassan AlRegib 110 8 0 06 Apr 2023
A Certified Radius-Guided Attack Framework to Image Segmentation Models Wenjie Qu Youqi Li Binghui Wang AAML 62 5 0 05 Apr 2023
How to choose your best allies for a transferable attack? Thibault Maho Seyed-Mohsen Moosavi-Dezfooli Teddy Furon AAML 68 1 0 05 Apr 2023
Cross-Class Feature Augmentation for Class Incremental Learning Taehoon Kim Jaeyoo Park Bohyung Han CLL 88 5 0 04 Apr 2023
CGDTest: A Constrained Gradient Descent Algorithm for Testing Neural Networks Vineel Nagisetty Laura Graves Guanting Pan Piyush Jha Vijay Ganesh AAML OOD 61 1 0 04 Apr 2023
NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression Jung-Woo Chang Nojan Sheybani Shehzeen Samarah Hussain Mojan Javaheripi Seira Hidano F. Koushanfar AAML 66 1 0 04 Apr 2023
Model-Agnostic Reachability Analysis on Deep Neural Networks Chi Zhang Wenjie Ruan Fu Lee Wang Peipei Xu Geyong Min Xiaowei Huang 76 3 0 03 Apr 2023
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators Xin Zhang Yuqi Song Xiang Wang Fei Zuo MedIm DiffM 47 2 0 03 Apr 2023