activity
20212024
most citedR-LPIPS: An Adversarially Robust Perceptual Similarity Metric

12 citations · 18 across the 18 of their papers we have counts for

collaborators

18 papers

cs.CV2024

Towards Unified Benchmark and Models for Multi-Modal Perceptual Metrics

Sara Ghazanfari, Siddharth Garg, Nicolas Flammarion +3

Human perception of similarity across uni- and multimodal inputs is highly complex, making it challenging to develop automated metrics that accurately mimic it. General purpose vis…

cs.CV2024

SALSA: Swift Adaptive Lightweight Self-Attention for Enhanced LiDAR Place Recognition

Raktim Gautam Goswami, Naman Patel, Prashanth Krishnamurthy +1

Large-scale LiDAR mappings and localization leverage place recognition techniques to mitigate odometry drifts, ensuring accurate mapping. These techniques utilize scene representat…

cs.CR20241 cited

SENTAUR: Security EnhaNced Trojan Assessment Using LLMs Against Undesirable Revisions

Jitendra Bhandari, Rajat Sadhukhan, Prashanth Krishnamurthy +2

A globally distributed IC supply chain brings risks due to untrusted third parties. The risks span inadvertent use of hardware Trojan (HT), inserted Intellectual Property (3P-IP) o…

cs.RO2024

Efficient and Distributed Large-Scale 3D Map Registration using Tomographic Features

Halil Utku Unlu, Anthony Tzes, Prashanth Krishnamurthy +1

A robust, resource-efficient, distributed, and minimally parameterized 3D map matching and merging algorithm is proposed. The suggested algorithm utilizes tomographic features from…

eess.SY20243 cited

Tracking Real-time Anomalies in Cyber-Physical Systems Through Dynamic Behavioral Analysis

Prashanth Krishnamurthy, Ali Rasteh, Ramesh Karri +1

Increased connectivity and remote reprogrammability/reconfigurability features of embedded devices in current-day power systems (including interconnections between information tech…

eess.SY2024

Confidence-Aware Safe and Stable Control of Control-Affine Systems

Shiqing Wei, Prashanth Krishnamurthy, Farshad Khorrami

Designing control inputs that satisfy safety requirements is crucial in safety-critical nonlinear control, and this task becomes particularly challenging when full-state measuremen…