Towards Evaluating the Robustness of Neural Networks

16 August 2016

Papers citing "Towards Evaluating the Robustness of Neural Networks"

50 / 1,684 papers shown

Title
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Bo Li AAML 38 128 0 09 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 157 0 08 Sep 2020
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks Wei-An Lin Chun Pong Lau Alexander Levine Ramalingam Chellappa S. Feizi AAML 81 60 0 05 Sep 2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching Jonas Geiping Liam H. Fowl Wenjie Huang W. Czaja Gavin Taylor Michael Moeller Tom Goldstein AAML 21 215 0 04 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks Chen Ma L. Chen Junhai Yong MLAU OOD 41 17 0 02 Sep 2020
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 47 48 0 02 Sep 2020
On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption Charles Lehman Dogancan Temel Ghassan AlRegib 23 4 0 02 Sep 2020
Open-set Adversarial Defense Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 23 30 0 02 Sep 2020
Adversarial Eigen Attack on Black-Box Models Linjun Zhou Peng Cui Yinan Jiang Shiqiang Yang AAML 14 12 0 27 Aug 2020
PermuteAttack: Counterfactual Explanation of Machine Learning Credit Scorecards Masoud Hashemi Ali Fathi AAML 15 32 0 24 Aug 2020
On Attribution of Deepfakes Baiwu Zhang Jin Peng Zhou Ilia Shumailov Nicolas Papernot WIGM 32 11 0 20 Aug 2020
Yet Another Intermediate-Level Attack Qizhang Li Yiwen Guo Hao Chen AAML 24 51 0 20 Aug 2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training Alfred Laugros A. Caplier Matthieu Ospici AAML 24 19 0 19 Aug 2020
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection Christian Scano Scott E. Coull Battista Biggio Giovanni Lagorio A. Armando Fabio Roli AAML 35 59 0 17 Aug 2020
Adversarial Filters for Secure Modulation Classification A. Berian K. Staab N. Teku G. Ditzler T. Bose Ravi Tandon AAML 19 7 0 15 Aug 2020
Adversarial Training and Provable Robustness: A Tale of Two Objectives Jiameng Fan Wenchao Li AAML 25 20 0 13 Aug 2020
Defending Adversarial Examples via DNN Bottleneck Reinforcement Wenqing Liu Miaojing Shi Teddy Furon Li Li AAML 26 8 0 12 Aug 2020
Visual Attack and Defense on Text Shengjun Liu Ningkang Jiang Yuanbin Wu AAML 20 0 0 07 Aug 2020
Optimizing Information Loss Towards Robust Neural Networks Philip Sperl Konstantin Böttinger AAML 21 3 0 07 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 32 73 0 07 Aug 2020
Stronger and Faster Wasserstein Adversarial Attacks Kaiwen Wu Allen Wang Yaoliang Yu AAML 22 32 0 06 Aug 2020
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao Xiaoguang Han AAML 17 86 0 05 Aug 2020
Can Adversarial Weight Perturbations Inject Neural Backdoors? Siddhant Garg Adarsh Kumar Vibhor Goel Yingyu Liang AAML 48 86 0 04 Aug 2020
Anti-Bandit Neural Architecture Search for Model Defense Hanlin Chen Baochang Zhang Shenjun Xue Xuan Gong Hong Liu Rongrong Ji David Doermann AAML 22 34 0 03 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 30 90 0 31 Jul 2020
Securing CNN Model and Biometric Template using Blockchain Akhil Goel Akshay Agarwal Mayank Vatsa Richa Singh Nalini Ratha 19 31 0 31 Jul 2020
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases Ren Wang Gaoyuan Zhang Sijia Liu Pin-Yu Chen Jinjun Xiong Meng Wang AAML 36 148 0 31 Jul 2020
Membership Leakage in Label-Only Exposures Zheng Li Yang Zhang 34 237 0 30 Jul 2020
Stylized Adversarial Defense Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli GAN AAML 28 16 0 29 Jul 2020
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning Jirong Yi R. Mudumbai Weiyu Xu AAML 32 2 0 28 Jul 2020
From Sound Representation to Model Robustness Mohamad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 20 6 0 27 Jul 2020
RANDOM MASK: Towards Robust Convolutional Neural Networks Tiange Luo Tianle Cai Mengxiao Zhang Siyu Chen Liwei Wang AAML OOD 24 17 0 27 Jul 2020
Adversarial Attacks against Face Recognition: A Comprehensive Study Fatemeh Vakhshiteh A. Nickabadi Raghavendra Ramachandra AAML 28 16 0 22 Jul 2020
Robust Machine Learning via Privacy/Rate-Distortion Theory Ye Wang Shuchin Aeron Adnan Siraj Rakin T. Koike-Akino P. Moulin OOD 22 6 0 22 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 36 221 0 21 Jul 2020
Towards Visual Distortion in Black-Box Attacks Nannan Li Zhenzhong Chen 30 12 0 21 Jul 2020
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers Yuzhen Ding Nupur Thakur Baoxin Li AAML 24 3 0 20 Jul 2020
Scaling Polyhedral Neural Network Verification on GPUs Christoph Müller F. Serre Gagandeep Singh Markus Püschel Martin Vechev AAML 29 56 0 20 Jul 2020
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML MLAU BDL 18 95 0 17 Jul 2020
On Adversarial Robustness: A Neural Architecture Search perspective Chaitanya Devaguptapu Devansh Agarwal Gaurav Mittal Pulkit Gopalani V. Balasubramanian OOD AAML 17 33 0 16 Jul 2020
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters Haoyun Liang Zhihao Ouyang Yuyuan Zeng Hang Su Zihao He Shutao Xia Jun Zhu Bo Zhang 16 47 0 16 Jul 2020
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows H. M. Dolatabadi S. Erfani C. Leckie AAML 19 66 0 15 Jul 2020
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training Kai Liang Tan Yasaman Esfandiari Xian Yeow Lee Aakanksha Soumik Sarkar AAML 26 55 0 14 Jul 2020
Adversarial Attacks against Neural Networks in Audio Domain: Exploiting Principal Components Ken Alparslan Yigit Can Alparslan Matthew Burlick AAML 24 8 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 32 128 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 22 118 0 13 Jul 2020
Probabilistic Jacobian-based Saliency Maps Attacks Théo Combey António Loison Maxime Faucher H. Hajri AAML 23 19 0 12 Jul 2020
Boundary thickness and robustness in learning models Yaoqing Yang Rekha Khanna Yaodong Yu A. Gholami Kurt Keutzer Joseph E. Gonzalez Kannan Ramchandran Michael W. Mahoney OOD 18 37 0 09 Jul 2020
Evaluation of Adversarial Training on Different Types of Neural Networks in Deep Learning-based IDSs Rana Abou-Khamis Ashraf Matrawy AAML 41 46 0 08 Jul 2020
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks Meet P. Vadera Adam D. Cobb B. Jalaeian Benjamin M. Marlin BDL UQCV 27 16 0 08 Jul 2020