research note
Next-Gen CAPTCHAs is a defense-oriented CAPTCHA benchmark and generation framework for GUI agents, motivated by the claim that modern multimodal, computer-use agents have already broken many curren…
research note
This paper tackles a very specific but important gap: wearable gesture systems are often treated as UX or sensing problems, yet in covert or safety-critical use they can become privacy liabilities …
research note
SocialPulse is an open-source, interactive toolkit for exploratory analysis of Reddit communities that combines topic modeling, sentiment analysis, user-activity characterization, and optional bot …
research note
This paper addresses the important and understudied topic of the ethical considerations in social media bot detection
research note
TaSA tackles a very specific but important failure mode in tactile manipulation: when a dexterous hand has to tell the difference between its own fingers/palm touching each other and the object act…
research note
HEEDFUL tackles a practical failure mode in deep-learning RF fingerprinting — models trained on one capture regime often collapse when the device is still warming up
research note
This paper addresses the challenge of detecting sophisticated malicious bots on e-commerce platforms, which evade traditional defenses like IP blacklists and CAPTCHAs by using proxies, botnets, or …
research note
BOCLOAK is a constraint-aware adversarial attack framework for graph neural network (GNN) bot detectors on social networks
research note
This paper presents Trackly, a unified SaaS platform designed to integrate comprehensive user behavior analytics with real-time rule-based anomaly detection
research note
This paper studies whether very short web survey interactions can reveal stress and cognitive load from multimodal signals, and whether those signals align better with experimentally manipulated ta…
research note
CONTEX-T studies a passive device-fingerprinting attack on encrypted IoT traffic, but instead of working directly in the packet-sequence or grayscale-image domain, it transforms packet-length windo…
research note
This paper studies whether large language models can generate proof-faithful explanations over OWL ontologies, not just answer entailment queries
