Shubhi Shukla

Orcid: 0000-0003-0452-885X

Affiliations:
  • Indian Institute of Technology Kharagpur (IIT-KGP), Centre for Computational and Data Sciences, Kharagpur, WB, USA


According to our database1, Shubhi Shukla authored at least 11 papers between 2022 and 2025.

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

Timeline

Legend:

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Online presence:

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Bibliography

2025
"Energon": Unveiling Transformers from GPU Power and Thermal Side-Channels.
CoRR, August, 2025

Uncovering Security Vulnerabilities in Intel Trust Domain Extensions.
IACR Cryptol. ePrint Arch., 2025

Minimal Counters, Maximum Insight: Simplifying System Performance With HPC Clusters for Optimized Monitoring.
IEEE Comput. Archit. Lett., 2025

Guardian of the Ensembles: Introducing Pairwise Adversarially Robust Loss for Resisting Adversarial Attacks in DNN Ensembles.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Secured and Privacy-Preserving GPU-Based Machine Learning Inference in Trusted Execution Environment: A Comprehensive Survey.
Proceedings of the 17th International Conference on COMmunication Systems and NETworks, 2025

2024
Stealing the Invisible: Unveiling Pre-Trained CNN Models Through Adversarial Examples and Timing Side-Channels.
IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2024

µLAM: A LLM-Powered Assistant for Real-Time Micro-architectural Attack Detection and Mitigation.
IACR Cryptol. ePrint Arch., 2024

"There's always another counter": Detecting Micro-architectural Attacks in a Probabilistically Interleaved Malicious/Benign Setting.
IACR Cryptol. ePrint Arch., 2024

Too Hot to Handle: Novel Thermal Side-Channel in Power Attack-Protected Intel Processors.
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2024

2023
"Whispering MLaaS" Exploiting Timing Channels to Compromise User Privacy in Deep Neural Networks.
IACR Trans. Cryptogr. Hardw. Embed. Syst., 2023

2022
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel.
CoRR, 2022


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