1 citations · 1 across the 5 of their papers we have counts for
5 papers
SecScale: A Scalable and Secure Trusted Execution Environment for Servers
Ani Sunny, Nivedita Shrivastava, Smruti R. Sarangi
Trusted execution environments (TEEs) are an integral part of modern secure processors. They ensure that their application and code pages are confidential, tamper proof and immune…
NeuroPlug: Plugging Side-Channel Leaks in NPUs using Space Filling Curves
Nivedita Shrivastava, Smruti R. Sarangi
Securing deep neural networks (DNNs) from side-channel attacks is an important problem as of today, given the substantial investment of time and resources in acquiring the raw data…
SparseLock: Securing Neural Network Models in Deep Learning Accelerators
Nivedita Shrivastava, Smruti R. Sarangi
Securing neural networks (NNs) against model extraction and parameter exfiltration attacks is an important problem primarily because modern NNs take a lot of time and resources to…
SecOComp: A Fast and Secure Simultaneous Compression and Encryption Scheme
Nivedita Shrivastava, Smruti R. Sarangi
We live in a data-driven era that involves the generation, collection and processing of a massive amount of data. This data often contains valuable intellectual property and sensit…
Seculator: A Fast and Secure Neural Processing Unit
Nivedita Shrivastava, Smruti R. Sarangi
Securing deep neural networks (DNNs) is a problem of significant interest since an ML model incorporates high-quality intellectual property, features of data sets painstakingly col…