8 citations · 9 across the 10 of their papers we have counts for
6 papers · 1 filter
ASGARD: Action-Space Guard for UAV Resilience via Reinforcement Learning
Mohsen Salehi, Karthik Pattabiraman
Reinforcement learning (RL) controllers have been recently adopted for Unmanned Aerial Vehicles (UAV) navigation and control. However, they are susceptible to action-space attacks…
Function Name Is All You Need to Detect Blockchain Application Attacks
Rui Xi, Zehua Wang, Karthik Pattabiraman
Blockchain application attacks, targeting business logic bugs in decentralized applications (dApps), have been an increasing concern to their developers and users, causing signific…
Chameleon: Recovering Cyber-Physical Systems from Memory Corruption Attacks via ML Surrogates
Mohsen Salehi, Karthik Pattabiraman
Cyber-physical systems (CPSs) can be compromised through memory corruption vulnerabilities, which can result in safety violations. Existing techniques mostly focus on detecting suc…
Framework for Discovering GPS Spoofing Attacks in Drone Swarms
Yingao Elaine Yao, Pritam Dash, Karthik Pattabiraman
Swarm robotics, particularly drone swarms, are used in various safety-critical tasks. While a lot of attention has been given to improving swarm control algorithms for improved int…
SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices
Mohammadreza Hallajiyan, Xueren Ge, Athish Pranav Dharmalingam +4
The growing integration of artificial intelligence (AI) and machine learning (ML) in medical systems requires effective measures to address emerging security risks. One such risk i…
ROAST: Risk-aware Outlier-exposure for Adversarial Selective Training of Anomaly Detectors Against Evasion Attacks
Mohammed Elnawawy, Gargi Mitra, Shahrear Iqbal +1
Safety-critical domains like healthcare rely on deep neural networks (DNNs) for prediction, yet DNNs remain vulnerable to evasion attacks. Anomaly detectors (ADs) are widely used t…