Sparsity-Aware Caches to Accelerate Deep Neural Networks. - Vinod Ganesan; Sanchari Sen; Pratyush Kumar; Neel Gala; Kamakoti Veezhinathan; Anand Raghunathan (DATE, 2020)

PARAM: A Microprocessor Hardened for Power Side-Channel Attack Resistance. - Muhammad Arsath K. F; Vinod Ganesan; Rahul Bodduna; Chester Rebeiro (HOST, 2020)

A Case for Generalizable DNN Cost Models for Mobile Devices. - Vinod Ganesan; Surya Selvam; Sanchari Sen; Pratyush Kumar; Anand Raghunathan (IISWC, 2020)

Brutus: Refuting the Security Claims of the Cache Timing Randomization Countermeasure Proposed in CEASER. - Rahul Bodduna; Vinod Ganesan; Patanjali SLPSK; Kamakoti Veezhinathan; Chester Rebeiro (IEEE Comput. Archit. Lett., 2020)

Generalized Weight Agnostic Neural Networks for Configurable and Continual Autonomous Systems. - Pranav U. Gadikar; Vinod Ganesan; Pratyush Kumar Panda (AIMLSystems, 2021)

Seclusive Cache Hierarchy for Mitigating Cross-Core Cache and Coherence Directory Attacks. - Vishal Gupta 006; Vinod Ganesan; Biswabandan Panda (DATE, 2021)

FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays. - Surya Selvam; Vinod Ganesan; Pratyush Kumar (DATE, 2021)

SuperShaper: Task-Agnostic Super Pre-training of BERT Models with Variable Hidden Dimensions. - Vinod Ganesan; Gowtham Ramesh; Pratyush Kumar (CoRR, 2021)

Efficient ML Models for Practical Secure Inference. - Vinod Ganesan; Anwesh Bhattacharya; Pratyush Kumar; Divya Gupta 001; Rahul Sharma 001; Nishanth Chandran (CoRR, 2022)

Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge. - Vinod Ganesan; Pratyush Kumar (ACM Trans. Embed. Comput. Syst., 2022)

A Survey of Security Concerns and Countermeasures in Modern Micro-architectures with Transient Execution. - Nikhilesh Singh; Vinod Ganesan; Chester Rebeiro (CoRR, 2023)

PwR: Exploring the Role of Representations in Conversational Programming. - Pradyumna YM; Vinod Ganesan; Dinesh Kumar Arumugam; Meghna Gupta; Nischith Shadagopan; Tanay Dixit; Sameer Segal; Pratyush Kumar; Mohit Jain; Sriram Rajamani (CoRR, 2023)