A Transferable and Automatic Tuning of Deep Reinforcement Learning for
Cost Effective Phishing Detection

A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection

19 September 2022

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Papers citing "A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection"

16 / 16 papers shown

Title
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection Deqiang Li Qianmu Li AAML 55 125 0 30 Jun 2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning Jianwen Sun Tianwei Zhang Xiaofei Xie Lei Ma Yan Zheng Kangjie Chen Yang Liu AAML 48 117 0 14 May 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning Inaam Ilahi Muhammad Usama Junaid Qadir M. Janjua Ala I. Al-Fuqaha D. Hoang Dusit Niyato AAML 138 135 0 27 Jan 2020
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model J. Brajard A. Carrassi Marc Bocquet Laurent Bertino 69 226 0 06 Jan 2020
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 88 198 0 27 Mar 2019
Sequential Attacks on Agents for Long-Term Adversarial Goals E. Tretschk Seong Joon Oh Mario Fritz OnRL 387 48 1 31 May 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms Cédric Colas Olivier Sigaud Pierre-Yves Oudeyer 74 159 0 14 Feb 2018
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning Hyrum S. Anderson Anant Kharkar Bobby Filar David Evans P. Roth AAML 90 210 0 26 Jan 2018
Learning Robust Rewards with Adversarial Inverse Reinforcement Learning Justin Fu Katie Z Luo Sergey Levine 131 757 0 30 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 319 12,151 0 19 Jun 2017
Delving into adversarial attacks on deep policies Jernej Kos Basel Alomair AAML 72 228 0 18 May 2017
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents Yen-Chen Lin Zhang-Wei Hong Yuan-Hong Liao Meng-Li Shih Ming-Yuan Liu Min Sun AAML 120 417 0 08 Mar 2017
Adversarial Attacks on Neural Network Policies Sandy Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel MLAU AAML 102 839 0 08 Feb 2017
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 225 5,087 0 05 Jun 2016
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 175 7,665 0 22 Sep 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,129 0 20 Dec 2014