Sanyam Vyas

According to our database, Sanyam Vyas authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity.

Shae McFadden, Myles Foley, Elizabeth Bates, Ilias Tsingenopoulos, Sanyam Vyas, Vasilios Mavroudis, Chris Hicks, Fabio Pierazzi

CoRR, February, 2026

Towards the Deployment of Realistic Autonomous Cyber Network Defence: A Systematic Review.

Sanyam Vyas, Vasilios Mavroudis, Pete Burnap

ACM Comput. Surv., January, 2026

Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning.

Sanyam Vyas, Alberto Caron, Chris Hicks, Pete Burnap, Vasilios Mavroudis

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Autonomous Cyber Defence by Quantum-Inspired Deep Reinforcement Learning.

Wenbo Feng, Sanyam Vyas, Tingting Li

Proceedings of the 11th International Conference on Information Systems Security and Privacy, 2025

Adversarial Evasion Against Autonomous Cyber Defence Agents.

Melanie Meijer, Sanyam Vyas, Vasilios Mavroudis, Marc Juarez

Proceedings of the Computer Security. ESORICS 2025 International Workshops, 2025

2024

SoK: On Closing the Applicability Gap in Automated Vulnerability Detection.

Ezzeldin Shereen, Dan Ristea, Sanyam Vyas, Shae McFadden, Madeleine Dwyer, Chris Hicks, Vasilios Mavroudis

CoRR, 2024

Mitigating Deep Reinforcement Learning Backdoors in the Neural Activation Space.

Sanyam Vyas, Chris Hicks, Vasilios Mavroudis

Proceedings of the IEEE Security and Privacy, 2024

2023

Automated Cyber Defence: A Review.

Sanyam Vyas, John Hannay, Andrew Bolton, Pete Burnap

CoRR, 2023