Stochastic Layer-Wise Precision in Deep Neural Networks
Authors: Griffin Lacey, Graham W. Taylor, Shawki Areibi | Published: 2018-07-03
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors
Authors: Joshua Allen, Bolin Ding, Janardhan Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin | Published: 2018-07-02 | Updated: 2019-10-26
Adversarial Perturbations Against Real-Time Video Classification Systems
Authors: Shasha Li, Ajaya Neupane, Sujoy Paul, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy Chowdhury, Ananthram Swami | Published: 2018-07-02
Adversarial Examples in Deep Learning: Characterization and Divergence
Authors: Wenqi Wei, Ling Liu, Margaret Loper, Stacey Truex, Lei Yu, Mehmet Emre Gursoy, Yanzhao Wu | Published: 2018-06-29 | Updated: 2018-12-30
Adversarial Reprogramming of Neural Networks
Authors: Gamaleldin F. Elsayed, Ian Goodfellow, Jascha Sohl-Dickstein | Published: 2018-06-28 | Updated: 2018-11-29
Towards Demystifying Membership Inference Attacks
Authors: Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei | Published: 2018-06-28 | Updated: 2019-02-01
PIDS – A Behavioral Framework for Analysis and Detection of Network Printer Attacks
Authors: Asaf Hecht, Adi Sagi, Yuval Elovici | Published: 2018-06-27
Adversarial Distillation of Bayesian Neural Network Posteriors
Authors: Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger Grosse, Richard Zemel | Published: 2018-06-27
Detection based Defense against Adversarial Examples from the Steganalysis Point of View
Authors: Jiayang Liu, Weiming Zhang, Yiwei Zhang, Dongdong Hou, Yujia Liu, Hongyue Zha, Nenghai Yu | Published: 2018-06-21 | Updated: 2018-12-24
Gradient Adversarial Training of Neural Networks
Authors: Ayan Sinha, Zhao Chen, Vijay Badrinarayanan, Andrew Rabinovich | Published: 2018-06-21