C Krishna Mohan
4 papers · 2024–2026 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
Top co-authors
Research topics
Keywords
data poisoning
(2)
federated learning
(2)
semantic segmentation
(1)
adversarial learning
(1)
knowledge distillation
(1)
multimodal learning
(1)
autonomous driving
(1)
privacy preservation
(1)
unsupervised domain adaptation
(1)
instance segmentation
(1)
data valuation
(1)
convergence guarantee
(1)
model inversion attack
(1)
homomorphic encryption
(1)
domain gap
(1)
adversarial alignment
(1)
client contribution
(1)
causal inference
(1)
Papers
Bridging the Domain Gap in Small Multimodal Models: A Dual-level Alignment Perspective
WACV 2026
CaRS: A Causal Intervention Segmentation Framework and Benchmark Dataset for Autonomous Driving under Transitional Weather Conditions
WACV 2026
Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution
CVPR 2025
Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space
CVPR 2024