Nikhilesh Singh

Orcid: 0000-0002-2697-1855

According to our database1, Nikhilesh Singh authored at least 15 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
AegisSat: Securing AI-Enabled SoC FPGA Satellite Platforms.
CoRR, February, 2026

GoldenFuzz: Generative Golden Reference Hardware Fuzzing.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

Focus Session: What the Fuzz! Pushing Beyond Randomness in Hardware Security with Generative AI.
Proceedings of the Design, Automation & Test in Europe Conference, 2026

Focus Session: Advanced Hybrid Hardware Fuzzing.
Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025
SUNDEW: A Case-Sensitive Detection Engine to Counter Malware Diversity.
IEEE Trans. Dependable Secur. Comput., 2025

Valkyrie: A Response Framework to Augment Runtime Detection of Time-Progressive Attacks.
Proceedings of the 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2025

2024
ProMiSE: A Programmable Hardware Monitor for Secure Execution in Zero Trust Networks.
IEEE Embed. Syst. Lett., December, 2024

WhisperFuzz: White-Box Fuzzing for Detecting and Locating Timing Vulnerabilities in Processors.
Proceedings of the 33rd USENIX Security Symposium, 2024

2023
Kryptonite: Worst-Case Program Interference Estimation on Multi-Core Embedded Systems.
ACM Trans. Embed. Comput. Syst., October, 2023

A Survey of Security Concerns and Countermeasures in Modern Micro-architectures with Transient Execution.
CoRR, 2023

2022
SUNDEW: An Ensemble of Predictors for Case-Sensitive Detection of Malware.
CoRR, 2022

JUGAAD: Comprehensive Malware Behavior-as-a-Service.
Proceedings of the CSET 2022: Cyber Security Experimentation and Test Workshop, 2022

Timed speculative attacks exploiting store-to-load forwarding bypassing cache-based countermeasures.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

RaDaR: A Real-Word Dataset for AI powered Run-time Detection of Cyber-Attacks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
LEASH: Enhancing Micro-architectural Attack Detection with a Reactive Process Scheduler.
CoRR, 2021


  Loading...