Are Labels Required for Improving Adversarial Robustness?
Authors: Jonathan Uesato, Jean-Baptiste Alayrac, Po-Sen Huang, Robert Stanforth, Alhussein Fawzi, Pushmeet Kohli | Published: 2019-05-31 | Updated: 2019-12-05
文献データベース
L0 Regularization Based Neural Network Design and Compression
Authors: S. Asim Ahmed | Published: 2019-05-31
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness
Authors: Andrey Malinin, Mark Gales | Published: 2019-05-31 | Updated: 2019-12-02
Privacy-Preserving Detection of IoT Devices Connected Behind a NAT in a Smart Home Setup
Authors: Yair Meidan, Vinay Sachidananda, Yuval Elovici, Asaf Shabtai | Published: 2019-05-31
Bypassing Backdoor Detection Algorithms in Deep Learning
Authors: Te Juin Lester Tan, Reza Shokri | Published: 2019-05-31 | Updated: 2020-06-06
Identifying Classes Susceptible to Adversarial Attacks
Authors: Rangeet Pan, Md Johirul Islam, Shibbir Ahmed, Hridesh Rajan | Published: 2019-05-30
Speaker Anonymization Using X-vector and Neural Waveform Models
Authors: Fuming Fang, Xin Wang, Junichi Yamagishi, Isao Echizen, Massimiliano Todisco, Nicholas Evans, Jean-Francois Bonastre | Published: 2019-05-30
Bandlimiting Neural Networks Against Adversarial Attacks
Authors: Yuping Lin, Kasra Ahmadi K. A., Hui Jiang | Published: 2019-05-30
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models
Authors: Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos | Published: 2019-05-29 | Updated: 2021-02-17
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward
Authors: Adnan Qayyum, Muhammad Usama, Junaid Qadir, Ala Al-Fuqaha | Published: 2019-05-29