A Survey of Black-Box Adversarial Attacks on Computer Vision Models
Authors: Siddhant Bhambri, Sumanyu Muku, Avinash Tulasi, Arun Balaji Buduru | Published: 2019-12-03 | Updated: 2020-02-07
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FANNet: Formal Analysis of Noise Tolerance, Training Bias and Input Sensitivity in Neural Networks
Authors: Mahum Naseer, Mishal Fatima Minhas, Faiq Khalid, Muhammad Abdullah Hanif, Osman Hasan, Muhammad Shafique | Published: 2019-12-03 | Updated: 2020-05-14
Deep Probabilistic Models to Detect Data Poisoning Attacks
Authors: Mahesh Subedar, Nilesh Ahuja, Ranganath Krishnan, Ibrahima J. Ndiour, Omesh Tickoo | Published: 2019-12-03
A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection
Authors: Niloofar Yousefi, Marie Alaghband, Ivan Garibay | Published: 2019-12-02
Effect of Imbalanced Datasets on Security of Industrial IoT Using Machine Learning
Authors: Maede Zolanvari, Marcio A. Teixeira, Raj Jain | Published: 2019-12-02
Fastened CROWN: Tightened Neural Network Robustness Certificates
Authors: Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel | Published: 2019-12-02
A Method for Computing Class-wise Universal Adversarial Perturbations
Authors: Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy | Published: 2019-12-01
Data Poisoning Attacks on Neighborhood-based Recommender Systems
Authors: Liang Chen, Yangjun Xu, Fenfang Xie, Min Huang, Zibin Zheng | Published: 2019-12-01
Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality
Authors: Pulkit Sharma, Farah E Shamout, David A Clifton | Published: 2019-12-01
Design and Interpretation of Universal Adversarial Patches in Face Detection
Authors: Xiao Yang, Fangyun Wei, Hongyang Zhang, Jun Zhu | Published: 2019-11-30 | Updated: 2020-07-17