Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking
Authors: Erwin Quiring, Daniel Arp, Konrad Rieck | Published: 2017-03-16
Understanding Black-box Predictions via Influence Functions
Authors: Pang Wei Koh, Percy Liang | Published: 2017-03-14 | Updated: 2020-12-29
Implicit Sensor-based Authentication of Smartphone Users with Smartwatch
Authors: Wei-Han Lee, Ruby Lee | Published: 2017-03-10
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents
Authors: Yen-Chen Lin, Zhang-Wei Hong, Yuan-Hong Liao, Meng-Li Shih, Ming-Yu Liu, Min Sun | Published: 2017-03-08 | Updated: 2019-11-13
Generative Poisoning Attack Method Against Neural Networks
Authors: Chaofei Yang, Qing Wu, Hai Li, Yiran Chen | Published: 2017-03-03
Differentially Private Bayesian Learning on Distributed Data
Authors: Mikko Heikkilä, Eemil Lagerspetz, Samuel Kaski, Kana Shimizu, Sasu Tarkoma, Antti Honkela | Published: 2017-03-03 | Updated: 2017-05-29
Adversarial Examples for Semantic Image Segmentation
Authors: Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox | Published: 2017-03-03
The Second Order Linear Model
Authors: Ming Lin, Shuang Qiu, Bin Hong, Jieping Ye | Published: 2017-03-02 | Updated: 2017-06-23
Detecting Adversarial Samples from Artifacts
Authors: Reuben Feinman, Ryan R. Curtin, Saurabh Shintre, Andrew B. Gardner | Published: 2017-03-01 | Updated: 2017-11-15
Preserving Differential Privacy Between Features in Distributed Estimation
Authors: Christina Heinze-Deml, Brian McWilliams, Nicolai Meinshausen | Published: 2017-03-01 | Updated: 2017-06-27