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
深層学習技術
L0 Regularization Based Neural Network Design and Compression
Authors: S. Asim Ahmed | Published: 2019-05-31
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
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks
Authors: Yandong Li, Lijun Li, Liqiang Wang, Tong Zhang, Boqing Gong | Published: 2019-05-01 | Updated: 2019-12-09
To believe or not to believe: Validating explanation fidelity for dynamic malware analysis
Authors: Li Chen, Carter Yagemann, Evan Downing | Published: 2019-04-30
Detecting Adversarial Examples through Nonlinear Dimensionality Reduction
Authors: Francesco Crecchi, Davide Bacciu, Battista Biggio | Published: 2019-04-30 | Updated: 2019-05-01
SEALion: a Framework for Neural Network Inference on Encrypted Data
Authors: Tim van Elsloo, Giorgio Patrini, Hamish Ivey-Law | Published: 2019-04-29
Deep pNML: Predictive Normalized Maximum Likelihood for Deep Neural Networks
Authors: Koby Bibas, Yaniv Fogel, Meir Feder | Published: 2019-04-28 | Updated: 2020-01-08
End-to-End Adversarial Learning for Intrusion Detection in Computer Networks
Authors: Bahram Mohammadi, Mohammad Sabokrou | Published: 2019-04-25
Detecting ADS-B Spoofing Attacks using Deep Neural Networks
Authors: Xuhang Ying, Joanna Mazer, Giuseppe Bernieri, Mauro Conti, Linda Bushnell, Radha Poovendran | Published: 2019-04-22