1 citations · 2 across the 6 of their papers we have counts for
6 papers
REVIVE: A Multi-Modal Framework for Vandalism Detection and Recovery in Autonomous Vehicles
Abdullah Tariq Choudhry, Tapadhir Das
Autonomous vehicles (AVs) face increasing threats from vandalism-induced occlusion attacks (VOAs) that compromise camera-based perception. While detection frameworks can identify v…
On the Geometric Limits of Transformer Defenses against Obfuscation Attacks: Latent Embedding Collapse & Performance Robustness Gap
Becky Mashaido, Tapadhir Das
Prompt injection attacks pose significant risks to language model safety, yet existing defenses are typically evaluated using classification performance. We show that high detectio…
Give and Take: Federated Transfer Learning for Industrial IoT Network Intrusion Detection
Lochana Telugu Rajesh, Tapadhir Das, Raj Mani Shukla +1
The rapid growth in Internet of Things (IoT) technology has become an integral part of today's industries forming the Industrial IoT (IIoT) initiative, where industries are leverag…
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning
Prathyusha Devabhakthini, Sasmita Parida, Raj Mani Shukla +2
Adversarial attacks are a type of attack on machine learning models where an attacker deliberately modifies the inputs to cause the model to make incorrect predictions. Adversarial…
Improvise, Adapt, Overcome: Dynamic Resiliency Against Unknown Attack Vectors in Microgrid Cybersecurity Games
Suman Rath, Tapadhir Das, Shamik Sengupta
Cyber-physical microgrids are vulnerable to rootkit attacks that manipulate system dynamics to create instabilities in the network. Rootkits tend to hide their access level within…
Finding the Sweet Spot for Data Anonymization: A Mechanism Design Perspective
Abdelrahman Eldosouky, Tapadhir Das, Anuraag Kotra +1
Data sharing between different organizations is an essential process in today's connected world. However, recently there were many concerns about data sharing as sharing sensitive…