9 citations · 10 across the 6 of their papers we have counts for
6 papers
Contrastive Continual Learning for Model Adaptability in Internet of Things
Ajesh Koyatan Chathoth
Internet of Things (IoT) deployments operate in nonstationary, dynamic environments where factors such as sensor drift, evolving user behavior, and heterogeneous user privacy requi…
Log Anomaly Detection with Large Language Models via Knowledge-Enriched Fusion
Anfeng Peng, Ajesh Koyatan Chathoth, Stephen Lee
System logs are a critical resource for monitoring and managing distributed systems, providing insights into failures and anomalous behavior. Traditional log analysis techniques, i…
Dynamic Black-box Backdoor Attacks on IoT Sensory Data
Ajesh Koyatan Chathoth, Stephen Lee
Sensor data-based recognition systems are widely used in various applications, such as gait-based authentication and human activity recognition (HAR). Modern wearable and smart dev…
Dynamic User-controllable Privacy-preserving Few-shot Sensing Framework
Ajesh Koyatan Chathoth, Shuhao Yu, Stephen Lee
User-controllable privacy is important in modern sensing systems, as privacy preferences can vary significantly from person to person and may evolve over time. This is especially r…
PCAP-Backdoor: Backdoor Poisoning Generator for Network Traffic in CPS/IoT Environments
Ajesh Koyatan Chathoth, Stephen Lee
The rapid expansion of connected devices has made them prime targets for cyberattacks. To address these threats, deep learning-based, data-driven intrusion detection systems (IDS)…
Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy
Ajesh Koyatan Chathoth, Abhyuday Jagannatha, Stephen Lee
Internet of Things (IoT) devices are becoming increasingly popular and are influencing many application domains such as healthcare and transportation. These devices are used for re…