VeriML: Enabling Integrity Assurances and Fair Payments for Machine Learning as a Service
Authors: Lingchen Zhao, Qian Wang, Cong Wang, Qi Li, Chao Shen, Xiaodong Lin, Shengshan Hu, Minxin Du | Published: 2019-09-16
Literature Database
Node Injection Attacks on Graphs via Reinforcement Learning
Authors: Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant Honavar | Published: 2019-09-14
White-Box Adversarial Defense via Self-Supervised Data Estimation
Authors: Zudi Lin, Hanspeter Pfister, Ziming Zhang | Published: 2019-09-13
Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix
Authors: Chaomin Shen, Yaxin Peng, Guixu Zhang, Jinsong Fan | Published: 2019-09-13
On the Hardness of Robust Classification
Authors: Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska, James Worrell | Published: 2019-09-12
Machine Learning in/for Blockchain: Future and Challenges
Authors: Fang Chen, Hong Wan, Hua Cai, Guang Cheng | Published: 2019-09-12 | Updated: 2020-12-08
An Empirical Investigation of Randomized Defenses against Adversarial Attacks
Authors: Yannik Potdevin, Dirk Nowotka, Vijay Ganesh | Published: 2019-09-12
Inspecting adversarial examples using the Fisher information
Authors: Jörg Martin, Clemens Elster | Published: 2019-09-12
Feedback Learning for Improving the Robustness of Neural Networks
Authors: Chang Song, Zuoguan Wang, Hai Li | Published: 2019-09-12
Learning-Guided Network Fuzzing for Testing Cyber-Physical System Defences
Authors: Yuqi Chen, Christopher M. Poskitt, Jun Sun, Sridhar Adepu, Fan Zhang | Published: 2019-09-12