Author of the publication

DeepReturn: A deep neural network can learn how to detect previously-unseen ROP payloads without using any heuristics.

, , , , , , and . J. Comput. Secur., 28 (5): 499-523 (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Quantifying DNN Model Robustness to the Real-World Threats., , and . DSN, page 150-157. IEEE, (2020)Adaptive Cyber Defense Against Multi-Stage Attacks Using Learning-Based POMDP., , and . ACM Trans. Priv. Secur., 24 (1): 6:1-6:25 (2020)A Co-Design Adaptive Defense Scheme With Bounded Security Damages Against Heartbleed-Like Attacks., , , and . IEEE Trans. Inf. Forensics Secur., (2021)SoK: On the Semantic AI Security in Autonomous Driving., , , , , , , , , and 3 other author(s). CoRR, (2022)Detecting multi-sensor fusion errors in advanced driver-assistance systems., , , , , and . ISSTA, page 493-505. ACM, (2022)MTD Techniques for Memory Protection Against Zero-Day Attacks., , , , , , and . Adversarial and Uncertain Reasoning for Adaptive Cyber Defense, volume 11830 of Lecture Notes in Computer Science, Springer, (2019)Feedback control can make data structure layout randomization more cost-effective under zero-day attacks., , , , and . Cybersecurity, 1 (1): 3 (2018)DeepReturn: A deep neural network can learn how to detect previously-unseen ROP payloads without using any heuristics., , , , , , and . J. Comput. Secur., 28 (5): 499-523 (2020)Disclosing the Fragility Problem of Virtual Safety Testing for Autonomous Driving Systems., , , and . ISSRE Workshops, page 387-392. IEEE, (2021)On convergence rates of game theoretic reinforcement learning algorithms., , , and . Autom., (2019)