activity
20212026
most citedOn the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Provably Contractive and High-Quality Denoisers for Convergent Restoration

Shubhi Shukla, Pravin Nair

Image restoration, the recovery of clean images from degraded measurements, has applications in various domains like surveillance, defense, and medical imaging. While modern convol…

cs.CR2025

"Energon": Unveiling Transformers from GPU Power and Thermal Side-Channels

Arunava Chaudhuri, Shubhi Shukla, Sarani Bhattacharya +1

Transformers have become the backbone of many Machine Learning (ML) applications, including language translation, summarization, and computer vision. As these models are increasing…

cs.CR2024★ 2 cited

Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels

Shubhi Shukla, Manaar Alam, Pabitra Mitra +1

Machine learning, with its myriad applications, has become an integral component of numerous technological systems. A common practice in this domain is the use of transfer learning…

cs.CR2022★ 2 cited

On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel

Shubhi Shukla, Manaar Alam, Sarani Bhattacharya +2

Recent Deep Learning (DL) advancements in solving complex real-world tasks have led to its widespread adoption in practical applications. However, this opportunity comes with signi…

cs.LG2021

Guardian of the Ensembles: Introducing Pairwise Adversarially Robust Loss for Resisting Adversarial Attacks in DNN Ensembles

Shubhi Shukla, Subhadeep Dalui, Manaar Alam +4

Adversarial attacks rely on transferability, where an adversarial example (AE) crafted on a surrogate classifier tends to mislead a target classifier. Recent ensemble methods demon…