Vinod Ganesan

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 15

Top Topics

Countermeasures

Ibm Power Processor

Security Concerns

Inference Engine

Top Venues

ACM Trans. Embed. Comput. Syst.

Publications

Nikhilesh Singh, Vinod Ganesan, Chester Rebeiro
A Survey of Security Concerns and Countermeasures in Modern Micro-architectures with Transient Execution. CoRR (2023)
Pradyumna YM, Vinod Ganesan, Dinesh Kumar Arumugam, Meghna Gupta, Nischith Shadagopan, Tanay Dixit, Sameer Segal, Pratyush Kumar, Mohit Jain, Sriram Rajamani
PwR: Exploring the Role of Representations in Conversational Programming. CoRR (2023)
Vinod Ganesan, Anwesh Bhattacharya, Pratyush Kumar, Divya Gupta, Rahul Sharma, Nishanth Chandran
Efficient ML Models for Practical Secure Inference. CoRR (2022)
Vinod Ganesan, Pratyush Kumar
Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Vinod Ganesan, Gowtham Ramesh, Pratyush Kumar
SuperShaper: Task-Agnostic Super Pre-training of BERT Models with Variable Hidden Dimensions. CoRR (2021)
Surya Selvam, Vinod Ganesan, Pratyush Kumar
FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays. DATE (2021)
Vishal Gupta, Vinod Ganesan, Biswabandan Panda
Seclusive Cache Hierarchy for Mitigating Cross-Core Cache and Coherence Directory Attacks. DATE (2021)
Surya Selvam, Vinod Ganesan, Pratyush Kumar
FuSeConv: Fully Separable Convolutions for Fast Inference on Systolic Arrays. CoRR (2021)
Vinod Ganesan, Pratyush Kumar
Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge. CoRR (2021)
Pranav U. Gadikar, Vinod Ganesan, Pratyush Kumar Panda
Generalized Weight Agnostic Neural Networks for Configurable and Continual Autonomous Systems. AIMLSystems (2021)
Vinod Ganesan, Sanchari Sen, Pratyush Kumar, Neel Gala, Kamakoti Veezhinathan, Anand Raghunathan
Sparsity-Aware Caches to Accelerate Deep Neural Networks. DATE (2020)
Vinod Ganesan, Surya Selvam, Sanchari Sen, Pratyush Kumar, Anand Raghunathan
A Case for Generalizable DNN Cost Models for Mobile Devices. IISWC (2020)
Rahul Bodduna, Vinod Ganesan, Patanjali SLPSK, Kamakoti Veezhinathan, Chester Rebeiro
Brutus: Refuting the Security Claims of the Cache Timing Randomization Countermeasure Proposed in CEASER. IEEE Comput. Archit. Lett. 19 (1) (2020)
Muhammad Arsath K. F, Vinod Ganesan, Rahul Bodduna, Chester Rebeiro
PARAM: A Microprocessor Hardened for Power Side-Channel Attack Resistance. HOST (2020)
Muhammad Arsath K. F, Vinod Ganesan, Rahul Bodduna, Chester Rebeiro
PARAM: A Microprocessor Hardened for Power Side-Channel Attack Resistance. CoRR (2019)