most citedA Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks

8 citations · 8 across the 1 of their papers we have counts for

collaborators

10 papers

cs.CR2026

RVDebloater: Mode-based Adaptive Firmware Debloating for Robotic Vehicles

Mohsen Salehi, Karthik Pattabiraman

As the number of embedded devices grows and their functional requirements increase, embedded firmware is becoming increasingly larger, thereby expanding its attack surface. Despite…

cs.CR20251 cited

Systems-Theoretic and Data-Driven Security Analysis in ML-enabled Medical Devices

Gargi Mitra, Mohammadreza Hallajiyan, Inji Kim +5

The integration of AI/ML into medical devices is rapidly transforming healthcare by enhancing diagnostic and treatment facilities. However, this advancement also introduces serious…

cs.CR2025

Learning from the Good Ones: Risk Profiling-Based Defenses Against Evasion Attacks on DNNs

Mohammed Elnawawy, Gargi Mitra, Shahrear Iqbal +1

Safety-critical applications such as healthcare and autonomous vehicles use deep neural networks (DNN) to make predictions and infer decisions. DNNs are susceptible to evasion atta…

cs.CR20246 cited

AutoPatch: Automated Generation of Hotpatches for Real-Time Embedded Devices

Mohsen Salehi, Karthik Pattabiraman

Real-time embedded devices like medical or industrial devices are increasingly targeted by cyber-attacks. Prompt patching is crucial to mitigate the serious consequences of such at…

cs.RO20241 cited

SpecGuard: Specification Aware Recovery for Robotic Autonomous Vehicles from Physical Attacks

Pritam Dash, Ethan Chan, Karthik Pattabiraman

Robotic Autonomous Vehicles (RAVs) rely on their sensors for perception, and follow strict mission specifications (e.g., altitude, speed, and geofence constraints) for safe and tim…

cs.CV2024

Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models

Qutub Syed Sha, Michael Paulitsch, Karthik Pattabiraman +6

As transformer-based object detection models progress, their impact in critical sectors like autonomous vehicles and aviation is expected to grow. Soft errors causing bit flips dur…