Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
Authors: Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis | Published: 2021-01-04 | Updated: 2021-03-29
Active Learning Under Malicious Mislabeling and Poisoning Attacks
Authors: Jing Lin, Ryan Luley, Kaiqi Xiong | Published: 2021-01-01 | Updated: 2021-09-02
Stack-based Buffer Overflow Detection using Recurrent Neural Networks
Authors: William Arild Dahl, Laszlo Erdodi, Fabio Massimo Zennaro | Published: 2020-12-30
With False Friends Like These, Who Can Notice Mistakes?
Authors: Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen | Published: 2020-12-29 | Updated: 2021-12-13
Phishing Detection through Email Embeddings
Authors: Luis Felipe Gutiérrez, Faranak Abri, Miriam Armstrong, Akbar Siami Namin, Keith S. Jones | Published: 2020-12-28
Implementation of Security Systems for Detection and Prevention of Data Loss/Leakage at Organization via Traffic Inspection
Authors: Mir Hassan, Chen Jincai, Adnan Iftekhar, Adnan Shehzad, Xiaohui Cui | Published: 2020-12-28
Predicting Organizational Cybersecurity Risk: A Deep Learning Approach
Authors: Benjamin M. Ampel | Published: 2020-12-26
Robustness, Privacy, and Generalization of Adversarial Training
Authors: Fengxiang He, Shaopeng Fu, Bohan Wang, Dacheng Tao | Published: 2020-12-25
Gradient-Free Adversarial Attacks for Bayesian Neural Networks
Authors: Matthew Yuan, Matthew Wicker, Luca Laurenti | Published: 2020-12-23
Selective Forgetting of Deep Networks at a Finer Level than Samples
Authors: Tomohiro Hayase, Suguru Yasutomi, Takashi Katoh | Published: 2020-12-22 | Updated: 2020-12-31