arXiv AI

Acoustic UAV Detection in Battlefield Scenarios: Handling Noise, Domain Shift, and Weak Labels

arXiv:2608. 14287v1 Announce Type: cross Abstract: Passive acoustic sensing offers a critical, cost-efficient, and, crucially, passive alternative for detecting small unmanned aerial vehicles.

arXiv AI

Jul 20

Acoustic Imaging for UAV Detection: Dense Beamformed Energy Maps and U-Net SELD

arXiv:2508. 00307v4 Announce Type: replace-cross Abstract: We introduce a U-net model for 360{\deg} acoustic source localization formulated as a spherical semantic segmentation task.

By Belman Jahir Rodriguez, Sergio F. Chevtchenko, Marcelo Herrera Martinez, Yeshwanth Bethi, Saeed Afshar

computer-vision robotics benchmarks

arXiv Machine Learning

Jun 2

Classification and detection of multiple UAVs using rational Gaussian wavelet neural networks

arXiv:2605. 26310v2 Announce Type: replace Abstract: The detection of unmanned aerial vehicles (UAVs) is important for the protection of civilian and military infrastructure.

By Ungv\'ari Gerg\H{o}, Ferenc Braun, Attila \'Amon, P\'eter Kackst\"adter, J\'anos Volk, P\'eter Kov\'acs, Tam\'as D\'ozsa

robotics safety

arXiv AI

Jul 29

Device Invariance using Domain Adaptation on Acoustic Scene Classification

arXiv:2607. 25887v1 Announce Type: cross Abstract: This paper explores the effectiveness of domain adaptation techniques when using convolutional neural network (CNN)-based and transformer-based feature representations for acoustic scene classification.

By Abhishek dileep, Shubham Sharma, Padmanabhan Rajan

llms fine-tuning safety

arXiv AI

Jun 11

Lung-SRAD: Spectral-Aware Regularized Audio DASS with Dual-Axis Patch-Mix Contrastive Learning for Respiratory Sound Classification

arXiv:2606. 11922v1 Announce Type: cross Abstract: Recent respiratory sound classification (RSC) studies largely rely on CLS-token driven self-attention architectures such as the Audio Spectrogram Transformer (AST).

By Hemansh Shridhar, Miika Toikkanen, June-Woo Kim

llms benchmarks

arXiv Machine Learning

Aug 11

Physics-Informed Learning for Robust Acoustic Localization with Calibrated Uncertainty

arXiv:2608. 08911v1 Announce Type: cross Abstract: Recent advances in Passive Acoustic Monitoring (PAM) offer an opportunity to obtain ecological spatial point-process data at unprecedented scale.

By Jennifer N. Kampe, Changwoo J. Lee, Xin Shen, Ari Lehti\"o, Sandro von Brandenburg, Ossi Nokelainen, David B. Dunson, Otso Ovaskainen

arXiv AI

Jul 21

SONAR: Spectral-Contrastive Audio Residuals for Generalizable Deepfake Detection

arXiv:2511. 21325v2 Announce Type: replace-cross Abstract: Deepfake (DF) audio detectors still struggle to generalize to out of distribution inputs.

By Ido Nitzan Hidekel, Gal lifshitz, Khen Cohen, Dan Raviv

rag diffusion benchmarks safety

arXiv AI

Jun 29

Room for Error: Large-Scale Simulation of Over-the-Air Acoustic Attacks

arXiv:2606. 27701v1 Announce Type: cross Abstract: While voice control is rapidly becoming a ubiquitous vector of human-AI communication, the risks facing these systems remain poorly understood.

By Andrew C. Cullen, Neil Marchant, Jiani Xie, Paul Montague, Benjamin I. P. Rubinstein

efficiency multimodal safety

arXiv AI

Jul 21

Time-Frequency Consistency Learning for Robust Speech Deepfake Detection

arXiv:2607. 17761v1 Announce Type: cross Abstract: Recently, speech deepfake detection (SDD) has achieved significant progress.

By Jun Xue, Zhuolin Yi, Yanzhen Ren, Yihuan Huang, Jiayu Xiong, Yi Chai, Guanxiang Feng, Jiajun Liu, Tong Zhang

benchmarks safety

arXiv AI

Jun 2

DAStatFormer: A Hybrid Multibranch Transformer with Statistical Feature Integration for DAS-Based Pattern Recognitions

arXiv:2606. 00081v1 Announce Type: cross Abstract: Distributed Acoustic Sensing (DAS) enables large-scale monitoring through optical fibers, but its high dimensionality and complex spatio-temporal patterns make event classification demanding.

By Michel Dione (CERI SN - IMT Nord Europe), Jerry Lonlac (CERI SN - IMT Nord Europe), H\'el\`ene Louis (CERI SN - IMT Nord Europe), Anthony Fleury (CERI SN - IMT Nord Europe), Stephane Lecoeuche

llms benchmarks

arXiv Machine Learning

Jun 11

DroneShield-AI: A Multi-Modal Sensor Fusion Framework for Real-Time Autonomous Drone Threat Detection, Behavioral Intent Classification, and Swarm Intelligence in Contested Airspace

arXiv:2606. 11687v1 Announce Type: cross Abstract: Unmanned Aerial Vehicle (UAV) threats have emerged as a defining security challenge of the 21st century.

By Marius Bayizere

agents robotics multimodal safety

arXiv AI

Jun 12

GetNetUPAM: Ecologically Informed Nested Cross-Validation and Noise-Robust Attention for Marine Bioacoustic Monitoring

arXiv:2509. 04682v2 Announce Type: replace-cross Abstract: Deploying reliable bioacoustic monitoring systems requires models that generalize under high-noise, low-SNR conditions and evaluation protocols that expose deployment-relevant failure modes, gaps largely unaddressed in current UPAM practice.

By Nicholas R. Rasmussen, Rodrigue Rizk, Longwei Wang, KC Santosh

benchmarks

arXiv Machine Learning

Jun 4

FoeGlass: Simple In-Context Learning Is Enough for Red Teaming Audio Deepfake Detectors

arXiv:2606. 05101v1 Announce Type: cross Abstract: Audio deepfake detection (ADD) models are critical for countering the malicious use of text-to-speech (TTS) models.

By Sepehr Dehdashtian, Jacob H Seidman, Vishnu N Boddeti, Gaurav Bharaj

llms fine-tuning multimodal benchmarks safety

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