Generative Adversarial Perturbations
Authors: Omid Poursaeed, Isay Katsman, Bicheng Gao, Serge Belongie | Published: 2017-12-06 | Updated: 2018-07-06
Literature Database
Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection
Authors: Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, Andre Gregio, Daniela Oliveira, Xiaolin Li | Published: 2017-12-04 | Updated: 2021-10-17
Improving Network Robustness against Adversarial Attacks with Compact Convolution
Authors: Rajeev Ranjan, Swami Sankaranarayanan, Carlos D. Castillo, Rama Chellappa | Published: 2017-12-03 | Updated: 2018-03-22
Where Classification Fails, Interpretation Rises
Authors: Chanh Nguyen, Georgi Georgiev, Yujie Ji, Ting Wang | Published: 2017-12-02
Together or Alone: The Price of Privacy in Collaborative Learning
Authors: Balazs Pejo, Qiang Tang, Gergely Biczok | Published: 2017-12-01 | Updated: 2018-08-24
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
Authors: Been Kim, Martin Wattenberg, Justin Gilmer, Carrie Cai, James Wexler, Fernanda Viegas, Rory Sayres | Published: 2017-11-30 | Updated: 2018-06-07
AttGAN: Facial Attribute Editing by Only Changing What You Want
Authors: Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, Xilin Chen | Published: 2017-11-29 | Updated: 2018-07-25
No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World
Authors: Shreya Shankar, Yoni Halpern, Eric Breck, James Atwood, Jimbo Wilson, D. Sculley | Published: 2017-11-22
Adversarial Phenomenon in the Eyes of Bayesian Deep Learning
Authors: Ambrish Rawat, Martin Wistuba, Maria-Irina Nicolae | Published: 2017-11-22
Generative Adversarial Positive-Unlabelled Learning
Authors: Ming Hou, Brahim Chaib-draa, Chao Li, Qibin Zhao | Published: 2017-11-21 | Updated: 2018-04-04