5 citations · 20 across the 25 of their papers we have counts for
8 papers · 1 filter
AndroCon: Conning Location Services in Android
Soham Nag, Smruti R. Sarangi
Mobile device hackers often target ambient sensing, human activity identification, and interior floor mapping. In addition to overt signals like microphones and cameras, covert cha…
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…
ConstMig: Enabling Secure Live Migration of Large Intel SGX-based applications
Sandeep Kumar, Abhisek Panda, Smruti R. Sarangi
Cloud service providers are adopting Trusted Execution Environments (TEEs) to provide hardware-guaranteed security to applications running on remote, untrusted data centers. Howeve…
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…
A Comprehensive Benchmark Suite for Intel SGX
Sandeep Kumar, Abhisek Panda, Smruti R. Sarangi
Trusted execution environments (TEEs) such as \intelsgx facilitate the secure execution of an application on untrusted machines. Sadly, such environments suffer from serious limita…
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…