ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:

20 results for “Understanding of acoustic eavesdropping”

CS papers only

Hybrid search: Keyword + semantic, ranked by combined score.ⓘ

Want pure semantic search? Try claim verification →

cs.CRcs.SDEmpiricalRecentJul 24, 2026

Transforming Keystroke Noise to Text: Self-Supervised Acoustic Eavesdropping Attacks on Keyboards

Atsunori Okada, Akira Ito, Rei Ueno, Yuichi Hayashi +1 more

Researchers present a self-supervised method for reconstructing typed text from keystroke sounds without labeled data, achieving high accuracy in various scenarios.

View →
eess.SPcs.CRcs.ITRecentApr 17, 2026

A Novel Framework for Transmitter Privacy in Integrated Sensing and Communication

Vaibhav Kumar, Ahmad Bazzi, Christina Pöpper, Marwa Chafii

The paper proposes a joint active-passive beamforming framework using RIS to enhance transmitter privacy in ISAC systems by maximizing the malicious sensor's channel estimation error while maintaining…

View →
cs.ITcs.CRcs.ETRecentApr 27, 2026

Secure Integrated Sensing and Communication: Information Theory Offers Insights

Truman Welling, Onur Günlü, Aylin Yener

This paper surveys information-theoretic approaches to secure Integrated Sensing and Communication (ISAC), providing a comprehensive review of models, security formulations, and fundamental limits.

View →
cs.ITTheoreticalRecentJul 15, 2026

Square-Root Law for Covert Communication with Warden-Favorable Side Information

Hossein Ahmadi, Christian Deppe, Boulat A. Bash, Eduard A. Jorswieck

This paper studies covert communication in a scalar Gaussian model, deriving the maximal reliably transmissible covert payload and establishing first-order optimality.

View →
cs.SDcs.AIcs.CREmpiricalRecentJun 26, 2026

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

Andrew C. Cullen, Neil Marchant, Jiani Xie, Paul Montague +1 more

This paper tests the impact of acoustic factors on voice control systems and introduces a Dual-Form Signal to Noise Ratio to decouple source stealth from attack efficacy.

View →
cs.CRcs.CYcs.HCRecentApr 21, 2026

"We are currently clean on OPSEC": Why JD Can't Encrypt

Maurice Chiodo, Toni Erskine, Dennis Müller, James G. Wright

The paper analyzes the 2025 Signalgate leak to argue that even robust encryption cannot guarantee overall information security when operational security failures, power imbalances, and human factors a…

View →
cs.CRcs.SDRecentMay 18, 2026

Acoustic Interference: A New Paradigm Weaponizing Acoustic Latent Semantic for Universal Jailbreak against Large Audio Language Models

Yanyun Wang, Yu Huang, Zi Liang, Xixin Wu +1 more

The paper introduces Acoustic Interference Attack (AIA), a novel jailbreak method that bypasses Large Audio Language Model (LALM) safety alignments by manipulating the underlying acoustic latent seman…

View →
cs.SDcs.AIcs.CRRecentJun 4, 2026

Beyond Waveform Robustness: Robust Feature-Vocoder Adversarial Attacks on Automatic Speech Recognition

Yifan Liao, Zongmin Zhang, Zhen Sun, Yuhui Sun +2 more

The paper introduces a novel Clean-Referenced Feature-Vocoder Attack, a black-box adversarial attack that perturbs high-level SSL feature representations instead of raw audio waveforms, achieving supe…

View →
cs.CRRecentMay 4, 2026

Noisy Networks, Nosy Neighbors: Simple Privacy Attacks Against Residential Wireless Traffic

Arne Roszeitis, Bartosz Burgiel, Victor Jüttner, Erik Buchmann

The paper demonstrates that even a casual attacker with basic IT skills can perform sophisticated privacy attacks on smart-home networks, extracting detailed daily routines and personal information fr…

View →
eess.SPcs.CRRecentMay 22, 2026

Communication Security and Sensing Privacy in FMCW-Based ISAC Through Signal Modulation

Murat Temiz, Christos Masouros

The paper proposes a novel radar-centric signaling design using index modulation and phase coding over FMCW chirps to simultaneously achieve robust physical layer security for data and enhance sensing…

View →
cs.LGcs.CRRecentMay 4, 2026

Detecting Adversarial Data via Provable Adversarial Noise Amplification

Furkan Mumcu, Yasin Yilmaz

The paper formally proves a theorem regarding adversarial noise amplification and proposes a novel, lightweight detection mechanism that uses this enhanced signal for robust adversarial defense.

View →
cs.NIcs.CRcs.ITEmpiricalRecentJun 29, 2026

Wireless Backdoor Attack and Defense for Semantic Communications over Multiple Access Channel

Yalin E. Sagduyu, Tugba Erpek, Aylin Yener, Sennur Ulukus

This paper investigates the vulnerability of semantic communication systems in shared-access wireless networks to selective over-the-air backdoor attacks and proposes a defense mechanism.

View →
eess.SPcs.CREmpiricalRecentJul 22, 2026

ISAC-Assisted Channel Knowledge Map Generation for Physical Layer Authentication

Luca Bonaventura, Edoardo Gardin, Alessia Barison, Francesco Ardizzon +1 more

This paper proposes a physical layer authentication mechanism using integrated sensing and communication (ISAC) to reconstruct environment layout, infer propagation channels, and authenticate transmit…

View →
cs.SDcs.AIcs.CREmpiricalRecentJul 18, 2026

Do Speech Tokens Leak Voiceprints? Speaker Inversion Attacks Against End-to-End Speech Language Models

Ye Lu, Yihan Yan, Zhaoyang Zhang, Zhitao Ou +3 more

This paper introduces Audio BERT (AuB) and SpInv, methods for recovering embeddings from speech tokens and performing speaker inversion attacks using only three seconds of frontend output.

View →
cs.CReess.ASRecentMay 8, 2026

Asymmetric Phase Coding Audio Watermarking

Guang Yang, Amir Ghasemian, Ninareh Mehrabi, Homa Hosseinmardi

The paper proposes Asymmetric Phase Coding (APC), a training-free cryptographic audio watermarking scheme that achieves high extraction rates (97.5%-98.3%) across various real-world and adversarial at…

View →
cs.CRRecentMar 26, 2026

Physical Backdoor Attack Against Deep Learning-Based Modulation Classification

Younes Salmi, Hanna Bogucka

This paper proposes a physical backdoor attack against deep learning modulation classifiers, utilizing power amplifier non-linear distortions as physical triggers to achieve high attack success rates.

View →
cs.CRcs.AIRecentMay 12, 2026

AccLock: Unlocking Identity with Heartbeat Using In-Ear Accelerometers

Lei Wang, Jiangxuan Shen, Xi Zhang, Dalin Zhang +5 more

AccLock proposes a passive, zero-involvement user authentication system that uses unique biometric features from in-ear accelerometers (BCG signals) to achieve secure and unobtrusive identity verifica…

View →
eess.SPcs.CRcs.GTRecentApr 13, 2026

Structural Limits of Soft Fusion in Multi-Warden Covert Communication

Abbas Arghavani, Subhrakanti Dey, Anders Ahlen

The paper demonstrates that soft fusion in multi-warden covert communication has structural limits, showing that the Fusion Center gains no significant detection advantage from randomizing the number…

View →