6 papers
Seed-Induced Uniqueness in Transformer Models: Subspace Alignment Governs Subliminal Transfer
Ayşe Selin Okatan, Mustafa İlhan Akbaş, 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
Ayşe S. Okatan, Mustafa İlhan Akbaş, 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…
Adversarial-Resilient RF Fingerprinting: A CNN-GAN Framework for Rogue Transmitter Detection
Raju Dhakal, Prashant Shekhar, Laxima Niure Kandel
Radio Frequency Fingerprinting (RFF) has evolved as an effective solution for authenticating devices by leveraging the unique imperfections in hardware components involved in the s…
GPS Spoofing Attacks and Pilot Responses Using a Flight Simulator Environment
Mathilde Durieux, Kayla D. Taylor, Laxima Niure Kandel +1
Global Positioning System (GPS) spoofing involves transmitting fake signals that mimic those from GPS satellites, causing the GPS receivers to calculate incorrect Positioning, Navi…
Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous Driving
Prashant Shekhar, Bidur Devkota, Dumindu Samaraweera +2
Adversarial attacks pose a significant threat to deep learning models, particularly in safety-critical applications like healthcare and autonomous driving. Recently, patch based at…