1 citations · 1 across the 3 of their papers we have counts for
9 papers
Dueling Deep Q-Learning for Intrusion Detection
Logan Luna, Matthew P. Berkowitz, Laxima Niure Kandel +1
Intrusion detection systems (IDS) and automated systems for detecting and reporting cyber threats, are commonly handled via supervised machine learning methods. Though effective, t…
Microbenchmarking Cloud Cryptographic Workloads for Privacy-Preserving Healthcare IoT
Jeremiah L. Webb, Laxima Niure Kandel, Deepti Gupta +1
Cryptographic operations are an essential component of cloud security architectures; their comprehensive performance characterization across different cloud services, hardware arch…
Threat-Oriented Digital Twinning for Security Evaluation of Autonomous Platforms
Thomas J. Neubert, Laxima Niure Kandel, Berker Peköz
Open, unclassified research on secure autonomy is constrained by limited access to operational platforms, contested communications infrastructure, and representative adversarial te…
Seed-Induced Uniqueness in Transformer Models: Subspace Alignment Governs Subliminal Transfer
AyÅe Selin Okatan, Mustafa Ä°lhan AkbaÅ, Laxima Niure Kandel +1
We analyze subliminal transfer in Transformer models, where a teacher embeds hidden traits that can be linearly decoded by a student without degrading main-task performance. Prior…
Keys in the Weights: Transformer Authentication Using Model-Bound Latent Representations
AyÅe S. Okatan, Mustafa Ä°lhan AkbaÅ, Laxima Niure Kandel +1
We introduce Model-Bound Latent Exchange (MoBLE), a decoder-binding property in Transformer autoencoders formalized as Zero-Shot Decoder Non-Transferability (ZSDN). In identity tas…
C/N0 Analysis-Based GPS Spoofing Detection with Variable Antenna Orientations
Vienna Li, Justin Villa, Dan Diessner +2
GPS spoofing poses a growing threat to aviation by falsifying satellite signals and misleading aircraft navigation systems. This paper demonstrates a proof-of-concept spoofing dete…