Sotabase

Career

· Sr. Research Scientist, NVIDIA2024–
· Sr. AI Research Associate, JP Morgan Chase, XAI CoE2023–2024
· AI Research Intern, Meta, FAIR2022–2022
· AI Research Intern, Meta AI2021–2021
· AI Research Intern, IBM Research2019–2019
· PhD Student, Georgia Institute of Technology2017–2022
· MS, Georgia Institute of Technology2013–2014
· BE, Sri Jayachamarajendra College of Engineering2009–2013
· Research Scientist at Explainable AI Center, JP Morgan

Publications (16)

MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation
Computer Vision and Pattern Recognition · 2020
181
cited
Improving Adversarial Robustness of Ensembles with Diversity Training
arXiv.org · 2019
150
cited
Defending Against Model Stealing Attacks With Adaptive Misinformation
Computer Vision and Pattern Recognition · 2019
131
cited
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis
International Conference on Machine Learning · 2022
42
cited
Protecting DNNs from Theft using an Ensemble of Diverse Models
International Conference on Learning Representations · 2021
32
cited
Enabling Transparent Memory-Compression for Commodity Memory Systems
International Symposium on High-Performance Computer Architecture · 2019
28
cited
ExPLoit: Extracting Private Labels in Split Learning
2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) · 2021
28
cited
Bespoke Cache Enclaves: Fine-Grained and Scalable Isolation from Cache Side-Channels via Flexible Set-Partitioning
Seed · 2021
26
cited
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
Neural Information Processing Systems · 2023
13
cited
Gradient Inversion Attack: Leaking Private Labels in Two-Party Split Learning
arXiv.org · 2021
10
cited
Information Flow Control in Machine Learning through Modular Model Architecture
USENIX Security Symposium · 2023
9
cited
CRAM: Efficient Hardware-Based Memory Compression for Bandwidth Enhancement
arXiv.org · 2018
8
cited
Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information
arXiv.org · 2022
6
cited
Enabling Inference Privacy with Adaptive Noise Injection
arXiv.org · 2021
5
cited
Defending Textual Neural Networks against Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher
2021
Memory Controller Metadata Cache : Compressibility & Location Info CoreLLC Compression-Decompression Engine DRAM Metadata Processor
2018
Sotabase
Sanjay Kariyappa | Researcher Profile | Sotabase | Sotabase