Towards Deep Learning Models Resistant to Adversarial Attacks

19 June 2017

Papers citing "Towards Deep Learning Models Resistant to Adversarial Attacks"

50 / 6,536 papers shown

Title
Robust Large-Margin Learning in Hyperbolic Space Melanie Weber Manzil Zaheer A. S. Rawat A. Menon Sanjiv Kumar 66 33 0 11 Apr 2020
Luring of transferable adversarial perturbations in the black-box paradigm Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML 31 2 0 10 Apr 2020
Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness Haidong Xie Lixin Qian Xueshuang Xiang Naijin Liu AAML 28 1 0 10 Apr 2020
Blind Adversarial Training: Balance Accuracy and Robustness Haidong Xie Xueshuang Xiang Naijin Liu Bin Dong AAML 14 2 0 10 Apr 2020
Rethinking the Trigger of Backdoor Attack Yiming Li Tongqing Zhai Baoyuan Wu Yong Jiang Zhifeng Li Shutao Xia LLMSV 24 148 0 09 Apr 2020
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking Hongjun Wang Guangrun Wang Ya Li Dongyu Zhang Liang Lin AAML 27 83 0 08 Apr 2020
Learning to fool the speaker recognition Jiguo Li Xinfeng Zhang Jizheng Xu Li Zhang Y. Wang Siwei Ma Wen Gao AAML 30 21 0 07 Apr 2020
Approximate Manifold Defense Against Multiple Adversarial Perturbations Jay Nandy Wynne Hsu Mong Li Lee AAML 12 12 0 05 Apr 2020
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction Junwei Liang Lu Jiang Alexander G. Hauptmann 36 18 0 04 Apr 2020
Understanding (Non-)Robust Feature Disentanglement and the Relationship Between Low- and High-Dimensional Adversarial Attacks Zuowen Wang Leo Horne AAML 16 0 0 04 Apr 2020
SOAR: Second-Order Adversarial Regularization A. Ma Fartash Faghri Nicolas Papernot Amir-massoud Farahmand AAML 21 4 0 04 Apr 2020
Evading Deepfake-Image Detectors with White- and Black-Box Attacks Nicholas Carlini Hany Farid AAML 18 147 0 01 Apr 2020
Physically Realizable Adversarial Examples for LiDAR Object Detection James Tu Mengye Ren S. Manivasagam Ming Liang Binh Yang Richard Du Frank Cheng R. Urtasun 3DPC 28 238 0 01 Apr 2020
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes Sravanti Addepalli S. VivekB. Arya Baburaj Gaurang Sriramanan R. Venkatesh Babu AAML 14 32 0 01 Apr 2020
MetaPoison: Practical General-purpose Clean-label Data Poisoning Wenjie Huang Jonas Geiping Liam H. Fowl Gavin Taylor Tom Goldstein 41 188 0 01 Apr 2020
When the Guard failed the Droid: A case study of Android malware Harel Berger Chen Hajaj A. Dvir AAML 30 7 0 31 Mar 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 51 1,205 0 31 Mar 2020
A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays Ch. Srinivasa Rao Jingyun Liang Runhao Zeng Qi Chen Huazhu Fu Yanwu Xu Mingkui Tan AAML 16 7 0 31 Mar 2020
Adversarial Attacks on Multivariate Time Series Samuel Harford Fazle Karim H. Darabi AI4TS AAML 22 21 0 31 Mar 2020
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips Fan Yao Adnan Siraj Rakin Deliang Fan AAML 23 156 0 30 Mar 2020
Improved Gradient based Adversarial Attacks for Quantized Networks Kartik Gupta Thalaiyasingam Ajanthan MQ 26 19 0 30 Mar 2020
Towards Deep Learning Models Resistant to Large Perturbations Amirreza Shaeiri Rozhin Nobahari M. Rohban OOD AAML 39 12 0 30 Mar 2020
Learning to Learn Single Domain Generalization Fengchun Qiao Long Zhao Xi Peng OOD 100 435 0 30 Mar 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning Tianlong Chen Sijia Liu Shiyu Chang Yu Cheng Lisa Amini Zhangyang Wang AAML 18 247 0 28 Mar 2020
Adversarial Imitation Attack Mingyi Zhou Jing Wu Yipeng Liu Xiaolin Huang Shuaicheng Liu Xiang Zhang Ce Zhu AAML 30 0 0 28 Mar 2020
DaST: Data-free Substitute Training for Adversarial Attacks Mingyi Zhou Jing Wu Yipeng Liu Shuaicheng Liu Ce Zhu 30 142 0 28 Mar 2020
A Hybrid-Order Distributed SGD Method for Non-Convex Optimization to Balance Communication Overhead, Computational Complexity, and Convergence Rate Naeimeh Omidvar M. Maddah-ali Hamed Mahdavi ODL 35 3 0 27 Mar 2020
A copula-based visualization technique for a neural network Y. Kubo Yuto Komori T. Okuyama Hiroshi Tokieda FAtt 22 0 0 27 Mar 2020
A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks Samuel Deng Sanjam Garg S. Jha Saeed Mahloujifar Mohammad Mahmoody Abhradeep Thakurta 20 3 0 26 Mar 2020
Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks Zain Khan Jirong Yi R. Mudumbai Xiaodong Wu Weiyu Xu AAML MLAU 22 1 0 26 Mar 2020
Volumization as a Natural Generalization of Weight Decay Liu Ziyin Zihao Wang M. Yamada Masahito Ueda AI4CE 16 0 0 25 Mar 2020
Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization Jiaxiang Li Krishnakumar Balasubramanian Shiqian Ma 12 5 0 25 Mar 2020
Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study Luan Nguyen Sunpreet S. Arora Yuhang Wu Hao Yang AAML 25 88 0 24 Mar 2020
Defense Through Diverse Directions Christopher M. Bender Yang Li Yifeng Shi Michael K. Reiter Junier B. Oliva AAML 16 4 0 24 Mar 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 198 365 0 24 Mar 2020
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations Saima Sharmin Nitin Rathi Priyadarshini Panda Kaushik Roy AAML 118 87 0 23 Mar 2020
Adversarial Attacks on Monocular Depth Estimation Ziqi Zhang Xinge Zhu Yingwei Li Xiangqun Chen Yao Guo AAML MDE 36 25 0 23 Mar 2020
Sample-Specific Output Constraints for Neural Networks Mathis Brosowsky Olaf Dünkel Daniel Slieter Marius Zöllner AILaw PINN 59 10 0 23 Mar 2020
ARDA: Automatic Relational Data Augmentation for Machine Learning Nadiia Chepurko Ryan Marcus Emanuel Zgraggen Raul Castro Fernandez Tim Kraska David R Karger 24 16 0 21 Mar 2020
Robust Out-of-distribution Detection for Neural Networks Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 168 85 0 21 Mar 2020
Adversarial Robustness on In- and Out-Distribution Improves Explainability Maximilian Augustin Alexander Meinke Matthias Hein OOD 96 101 0 20 Mar 2020
Quantum noise protects quantum classifiers against adversaries Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao Nana Liu AAML 27 110 0 20 Mar 2020
One Neuron to Fool Them All Anshuman Suri David Evans AAML 19 4 0 20 Mar 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations Huan Zhang Hongge Chen Chaowei Xiao Yue Liu Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 61 262 0 19 Mar 2020
Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates Amin Ghiasi Ali Shafahi Tom Goldstein 42 55 0 19 Mar 2020
Overinterpretation reveals image classification model pathologies Brandon Carter Siddhartha Jain Jonas W. Mueller David K Gifford FAtt 61 50 0 19 Mar 2020
RAB: Provable Robustness Against Backdoor Attacks Maurice Weber Xiaojun Xu Bojan Karlas Ce Zhang Yue Liu AAML 27 161 0 19 Mar 2020
Face-Off: Adversarial Face Obfuscation Varun Chandrasekaran Chuhan Gao Brian Tang Kassem Fawaz S. Jha Suman Banerjee PICV 39 44 0 19 Mar 2020
SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing Chawin Sitawarin S. Chakraborty David Wagner AAML 25 38 0 18 Mar 2020
Vulnerabilities of Connectionist AI Applications: Evaluation and Defence Christian Berghoff Matthias Neu Arndt von Twickel AAML 52 23 0 18 Mar 2020