Praneeth Vepakomma
7 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(5)
Application Areas
(5)
Artificial Intelligence
(4)
Computer Vision
(2)
Security & Privacy
(2)
Analysis
(2)
Core AI · Artificial Intelligence
(2)
Differential Privacy
(2)
Learning Paradigms
(2)
Deep Learning
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Learning Types
(1)
Optimization & Theory
(1)
Techniques
(1)
Keywords
differential privacy
(2)
manifold learning
(1)
feature extraction
(1)
image retrieval
(1)
supervised learning
(1)
data valuation
(1)
privacy-preserving learning
(1)
feature space
(1)
experimental design
(1)
deep neural network
(1)
adversarial defense
(1)
collaborative inference
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
privacy-utility trade-off
(1)
inference attack defense
(1)
privacy protection
(1)
data acquisition
(1)
sensitive information
(1)
inference attack
(1)
Papers
FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Large Language Models
ACL 2025
Data Acquisition via Experimental Design for Data Markets
NeurIPS 2024
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
ECCV 2024
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release
NeurIPS 2023
Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release
ECCV 2022
PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval
AAAI 2022
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks
CVPR 2021