Devashri Naik

According to our database, Devashri Naik authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Belief Dynamics for Detecting Behavioral Shifts in Safe Collaborative Manipulation.

Devashri Naik, Divake Kumar, Nastaran Darabi, Amit Ranjan Trivedi

CoRR, April, 2026

TRIAGE: Type-Routed Interventions via Aleatoric-Epistemic Gated Estimation in Robotic Manipulation and Adaptive Perception - Don't Treat All Uncertainty the Same.

Divake Kumar, Sina Tayebati, Devashri Naik, Patrick Poggi, Amanda Sofie Rios, Nilesh Ahuja, Amit Ranjan Trivedi

CoRR, March, 2026

Resilience in Ambient Multi-Agent LLMs via Decentralized Bio-Autonomic Control and Immune-Inspired Anomaly Detection.

Nastaran Darabi, Devashri Naik, Sina Tayebati, Dinithi Jayasuriya, Amit Ranjan Trivedi

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

EigenShield: Inference-Time, Model-Agnostic Jailbreaking Defense via Causal Subspace Filtering.

Nastaran Darabi, Devashri Naik, Sina Tayebati, Dinithi Jayasuriya, Ranganath Krishnan, Amit Ranjan Trivedi

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Calibrated Decomposition of Aleatoric and Epistemic Uncertainty in Deep Features for Inference-Time Adaptation.

Divake Kumar, Patrick Poggi, Sina Tayebati, Devashri Naik, Nilesh Ahuja, Amit Ranjan Trivedi

CoRR, November, 2025

Causal-Guided Dimension Reduction for Efficient Pareto Optimization.

Dinithi Jayasuriya, Divake Kumar, Sureshkumar Senthilkumar, Devashri Naik, Nastaran Darabi, Amit Ranjan Trivedi

CoRR, October, 2025

EigenShield: Causal Subspace Filtering via Random Matrix Theory for Adversarially Robust Vision-Language Models.

Nastaran Darabi, Devashri Naik, Sina Tayebati, Dinithi Jayasuriya, Ranganath Krishnan, Amit Ranjan Trivedi

CoRR, February, 2025

From Signals to Features to Insights: Multi-Level Novelty Detection for Fast Scientific Discovery.

Devashri Naik, Nastaran Darabi, Sina Tayebati, Dinithi Jayasuriya, Shamma Nasrin, Danush Shekar, Corrinne Mills, Benjamin Parpillon, Farah Fahim, Mark S. Neubauer, Amit Ranjan Trivedi

Proceedings of the 43rd IEEE VLSI Test Symposium, 2025

Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through Curriculum Training.

Nastaran Darabi, Dinithi Jayasuriya, Devashri Naik, Theja Tulabandhula, Amit Ranjan Trivedi

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach.

Nastaran Darabi, Dinithi Jayasuriya, Devashri Naik, Theja Tulabandhula, Amit Ranjan Trivedi

CoRR, 2024