Praneeth Vepakomma
7 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (5) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (16)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π₯
Unstoppable
(5)
Conferences
ECCV (2)
NIPS (2)
AAAI (1)
ACL (1)
CVPR (1)
Top co-authors
Research topics
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)
low-rank adaptation
(1)
parameter efficient fine-tuning
(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
NIPS 2024
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
ECCV 2024
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release
NIPS 2023
PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval
AAAI 2022
Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release
ECCV 2022
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks
CVPR 2021