MixTrain: Scalable Training of Verifiably Robust Neural Networks
Authors: Shiqi Wang, Yizheng Chen, Ahmed Abdou, Suman Jana | Published: 2018-11-06 | Updated: 2018-12-01
Exploring Connections Between Active Learning and Model Extraction
Authors: Varun Chandrasekaran, Kamalika Chaudhuri, Irene Giacomelli, Somesh Jha, Songbai Yan | Published: 2018-11-05 | Updated: 2019-11-20
Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls
Authors: Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, Jason H. Li | Published: 2018-11-05
Security for Machine Learning-based Systems: Attacks and Challenges during Training and Inference
Authors: Faiq Khalid, Muhammad Abdullah Hanif, Semeen Rehman, Muhammad Shafique | Published: 2018-11-05
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning
Authors: Faiq Khalid, Muhammmad Abdullah Hanif, Semeen Rehman, Junaid Qadir, Muhammad Shafique | Published: 2018-11-04
SSCNets: Robustifying DNNs using Secure Selective Convolutional Filters
Authors: Hassan Ali, Faiq Khalid, Hammad Tariq, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique | Published: 2018-11-04 | Updated: 2020-05-15
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks
Authors: Faiq Khalid, Hassan Ali, Hammad Tariq, Muhammad Abdullah Hanif, Semeen Rehman, Rehan Ahmed, Muhammad Shafique | Published: 2018-11-04 | Updated: 2020-05-14
Structure and Content of the Visible Darknet
Authors: Georgia Avarikioti, Roman Brunner, Aggelos Kiayias, Roger Wattenhofer, Dionysis Zindros | Published: 2018-11-04 | Updated: 2018-11-07
Learning to Defend by Learning to Attack
Authors: Haoming Jiang, Zhehui Chen, Yuyang Shi, Bo Dai, Tuo Zhao | Published: 2018-11-03 | Updated: 2021-05-02
A Marauder’s Map of Security and Privacy in Machine Learning
Authors: Nicolas Papernot | Published: 2018-11-03