Sanguthevar Rajasekaran
6 papers · 2019–2022 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Interdisciplinary Bridge Β· Silver
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Taxonomy Completionist
(16)
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Venues
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Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Application Areas
(4)
Security & Privacy
(3)
Core AI
(3)
Learning Types
(3)
Privacy
(3)
Architectures
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Applications
(1)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
model pruning
(2)
neural network
(2)
neural network pruning
(2)
privacy leakage
(2)
model compression
(2)
knowledge distillation
(1)
distributed learning
(1)
privacy preservation
(1)
signal processing
(1)
dynamic time warping
(1)
secure aggregation
(1)
data privacy
(1)
adversarial attack
(1)
loss function
(1)
language model
(1)
weight pruning
(1)
gradient attack
(1)
overfitting reduction
(1)
membership inference attack
(1)
transformer-based language model
(1)
Papers
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm
ACL 2022
Against Membership Inference Attack: Pruning is All You Need
IJCAI 2021
A Secure and Efficient Federated Learning Framework for NLP
EMNLP 2021
TAG: Gradient Attack on Transformer-based Language Models
EMNLP 2021
AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters
NeurIPS 2019
DTWNet: a Dynamic Time Warping Network
NeurIPS 2019