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Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

50 / 1,610 papers shown

Title
Improving adversarial robustness of deep neural networks by using semantic information Lina Wang Rui Tang Yawei Yue Xingshu Chen Wei Wang Yi Zhu Xuemei Zeng AAML 56 14 0 18 Aug 2020
Novelty Detection Through Model-Based Characterization of Neural Networks Gukyeong Kwon Mohit Prabhushankar Dogancan Temel Ghassan AlRegib 53 23 0 13 Aug 2020
Adversarial Training and Provable Robustness: A Tale of Two Objectives Jiameng Fan Wenchao Li AAML 51 21 0 13 Aug 2020
Defending Adversarial Examples via DNN Bottleneck Reinforcement Wenqing Liu Miaojing Shi Teddy Furon Li Li AAML 60 8 0 12 Aug 2020
An Empirical Analysis of Backward Compatibility in Machine Learning Systems Megha Srivastava Besmira Nushi Ece Kamar S. Shah Eric Horvitz AAML 99 47 0 11 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 118 73 0 07 Aug 2020
Stronger and Faster Wasserstein Adversarial Attacks Kaiwen Wu Allen Wang Yaoliang Yu AAML 85 32 0 06 Aug 2020
Trojaning Language Models for Fun and Profit Xinyang Zhang Zheng Zhang Shouling Ji Ting Wang SILM AAML 98 140 0 01 Aug 2020
Vulnerability Under Adversarial Machine Learning: Bias or Variance? Hossein Aboutalebi M. Shafiee Michelle Karg C. Scharfenberger A. Wong AAML 60 3 0 01 Aug 2020
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations Md Rafiqul Islam Rabin Nghi D. Q. Bui Ke Wang Yijun Yu Lingxiao Jiang Mohammad Amin Alipour 154 90 0 31 Jul 2020
TEAM: We Need More Powerful Adversarial Examples for DNNs Yaguan Qian Xi-Ming Zhang Bin Wang Wei Li Zhaoquan Gu Haijiang Wang Wassim Swaileh AAML 58 0 0 31 Jul 2020
A General Framework For Detecting Anomalous Inputs to DNN Classifiers Jayaram Raghuram Varun Chandrasekaran S. Jha Suman Banerjee AAML 106 35 0 29 Jul 2020
Stylized Adversarial Defense Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli GAN AAML 80 16 0 29 Jul 2020
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing S. Tripathi David Muhr Manuel Brunner F. Emmert-Streib H. Jodlbauer M. Dehmer 51 45 0 28 Jul 2020
RANDOM MASK: Towards Robust Convolutional Neural Networks Tiange Luo Tianle Cai Mengxiao Zhang Siyu Chen Liwei Wang AAML OOD 92 17 0 27 Jul 2020
Convex Decreasing Algorithms: Distributed Synthesis and Finite-time Termination in Higher Dimension J. Melbourne Govind Saraswat Vivek Khatana Sourav Patel M. Salapaka 24 3 0 26 Jul 2020
MP3 Compression To Diminish Adversarial Noise in End-to-End Speech Recognition I. Andronic Ludwig Kurzinger Edgar Ricardo Chavez Rosas Gerhard Rigoll B. Seeber 56 15 0 25 Jul 2020
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition Ludwig Kurzinger Edgar Ricardo Chavez Rosas Lujun Li Tobias Watzel Gerhard Rigoll AAML 50 4 0 21 Jul 2020
Towards Visual Distortion in Black-Box Attacks Nannan Li Zhenzhong Chen 89 12 0 21 Jul 2020
Exploiting vulnerabilities of deep neural networks for privacy protection Ricardo Sánchez-Matilla C. Li Ali Shahin Shamsabadi Riccardo Mazzon Andrea Cavallaro AAML PICV 56 25 0 19 Jul 2020
Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering Ruixue Tang Chao Ma W. Zhang Qi Wu Xiaokang Yang OOD 72 49 0 19 Jul 2020
Backpropagated Gradient Representations for Anomaly Detection Gukyeong Kwon Mohit Prabhushankar Dogancan Temel Ghassan AlRegib 90 75 0 18 Jul 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge Zhiqiang Tang Yunhe Gao Leonid Karlinsky P. Sattigeri Rogerio Feris Dimitris N. Metaxas 65 58 0 17 Jul 2020
Understanding and Diagnosing Vulnerability under Adversarial Attacks Haizhong Zheng Ziqi Zhang Honglak Lee A. Prakash FAtt AAML 76 6 0 17 Jul 2020
Learning perturbation sets for robust machine learning Eric Wong J. Zico Kolter OOD 76 81 0 16 Jul 2020
On Adversarial Robustness: A Neural Architecture Search perspective Chaitanya Devaguptapu Devansh Agarwal Gaurav Mittal Pulkit Gopalani V. Balasubramanian OOD AAML 68 34 0 16 Jul 2020
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training Kai Liang Tan Yasaman Esfandiari Xian Yeow Lee Aakanksha Soumik Sarkar AAML 135 57 0 14 Jul 2020
Patch-wise Attack for Fooling Deep Neural Network Lianli Gao Qilong Zhang Jingkuan Song Xianglong Liu Heng Tao Shen AAML 95 145 0 14 Jul 2020
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems H. Abdullah Kevin Warren Vincent Bindschaedler Nicolas Papernot Patrick Traynor AAML 78 129 0 13 Jul 2020
Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations Chaoning Zhang Philipp Benz Tooba Imtiaz In-So Kweon SSL AAML 87 119 0 13 Jul 2020
ManiGen: A Manifold Aided Black-box Generator of Adversarial Examples Guanxiong Liu Issa M. Khalil Abdallah Khreishah A. Algosaibi Adel Aldalbahi M. Al-Naeem Abdulaziz Alhumam Muhammad Anan AAML 43 5 0 11 Jul 2020
ExpertNet: Adversarial Learning and Recovery Against Noisy Labels Amirmasoud Ghiassi Robert Birke Rui Han L. Chen NoLa 56 2 0 10 Jul 2020
Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection Qingsong Yao Zecheng He Hu Han Kevin Zhou AAML 75 37 0 10 Jul 2020
Improving Adversarial Robustness by Enforcing Local and Global Compactness Anh-Vu Bui Trung Le He Zhao Paul Montague O. deVel Tamas Abraham Dinh Q. Phung AAML 62 24 0 10 Jul 2020
Efficient detection of adversarial images Darpan Kumar Yadav Kartik Mundra Rahul Modpur Arpan Chattopadhyay I. Kar AAML 28 1 0 09 Jul 2020
On the relationship between class selectivity, dimensionality, and robustness Matthew L. Leavitt Ari S. Morcos 60 6 0 08 Jul 2020
RobFR: Benchmarking Adversarial Robustness on Face Recognition Xiao Yang Dingcheng Yang Yinpeng Dong Hang Su Wenjian Yu Jun Zhu AAML 130 14 0 08 Jul 2020
How benign is benign overfitting? Amartya Sanyal P. Dokania Varun Kanade Philip Torr NoLa AAML 89 58 0 08 Jul 2020
Making Adversarial Examples More Transferable and Indistinguishable Junhua Zou Yexin Duan Xin Liu Junyang Qiu Yu Pan Zhisong Pan AAML 75 32 0 08 Jul 2020
Learning while Respecting Privacy and Robustness to Distributional Uncertainties and Adversarial Data A. Sadeghi Gang Wang Meng Ma G. Giannakis OOD FedML 32 4 0 07 Jul 2020
On Connections between Regularizations for Improving DNN Robustness Yiwen Guo Long Chen Yurong Chen Changshui Zhang AAML 54 14 0 04 Jul 2020
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey S. Silva Peyman Najafirad AAML OOD 108 135 0 01 Jul 2020
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection Deqiang Li Qianmu Li AAML 77 126 0 30 Jun 2020
Diverse Knowledge Distillation (DKD): A Solution for Improving The Robustness of Ensemble Models Against Adversarial Attacks Ali Mirzaeian Jana Kosecka Houman Homayoun Tinoosh Mohsening Avesta Sasan FedML AAML 55 3 0 26 Jun 2020
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling Chengliang Dai Shuo Wang Yuanhan Mo Kaichen Zhou Elsa D. Angelini Yike Guo Wenjia Bai MedIm 78 33 0 26 Jun 2020
Backdoor Attacks Against Deep Learning Systems in the Physical World Emily Wenger Josephine Passananti A. Bhagoji Yuanshun Yao Haitao Zheng Ben Y. Zhao AAML 126 207 0 25 Jun 2020
Smooth Adversarial Training Cihang Xie Mingxing Tan Boqing Gong Alan Yuille Quoc V. Le OOD 94 154 0 25 Jun 2020
Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks Huiying Li Shawn Shan Emily Wenger Jiayun Zhang Haitao Zheng Ben Y. Zhao AAML 85 45 0 24 Jun 2020
Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness Xingjun Ma Linxi Jiang Hanxun Huang Zejia Weng James Bailey Yu-Gang Jiang AAML 77 10 0 24 Jun 2020
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models Cassidy Laidlaw Sahil Singla Soheil Feizi AAML OOD 123 189 0 22 Jun 2020