A4 : Evading Learning-based Adblockers
Authors: Shitong Zhu, Zhongjie Wang, Xun Chen, Shasha Li, Umar Iqbal, Zhiyun Qian, Kevin S. Chan, Srikanth V. Krishnamurthy, Zubair Shafiq | Published: 2020-01-29
文献データベース
Regularization Helps with Mitigating Poisoning Attacks: Distributionally-Robust Machine Learning Using the Wasserstein Distance
Authors: Farhad Farokhi | Published: 2020-01-29
Modelling and Quantifying Membership Information Leakage in Machine Learning
Authors: Farhad Farokhi, Mohamed Ali Kaafar | Published: 2020-01-29 | Updated: 2020-04-28
IoT Behavioral Monitoring via Network Traffic Analysis
Authors: Arunan Sivanathan | Published: 2020-01-28
Privacy-Preserving Gaussian Process Regression — A Modular Approach to the Application of Homomorphic Encryption
Authors: Peter Fenner, Edward O. Pyzer-Knapp | Published: 2020-01-28
Interpreting Machine Learning Malware Detectors Which Leverage N-gram Analysis
Authors: William Briguglio, Sherif Saad | Published: 2020-01-27
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Authors: Inaam Ilahi, Muhammad Usama, Junaid Qadir, Muhammad Umar Janjua, Ala Al-Fuqaha, Dinh Thai Hoang, Dusit Niyato | Published: 2020-01-27 | Updated: 2021-09-08
Practical Fast Gradient Sign Attack against Mammographic Image Classifier
Authors: Ibrahim Yilmaz | Published: 2020-01-27
Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN
Authors: Jean-Christophe Burnel, Kilian Fatras, Nicolas Courty | Published: 2020-01-27
Ensemble Noise Simulation to Handle Uncertainty about Gradient-based Adversarial Attacks
Authors: Rehana Mahfuz, Rajeev Sahay, Aly El Gamal | Published: 2020-01-26