{"total":34,"rows":[{"id":"2103.01498","title":"A Survey On Universal Adversarial Attack","created":"2021-03-02","cited_by_count":59,"area":null},{"id":"2103.03344","title":"WaveGuard: Understanding and Mitigating Audio Adversarial Examples","created":"2021-03-04","cited_by_count":40,"area":null},{"id":"2102.07325","title":"Cross-modal Adversarial Reprogramming","created":"2021-02-15","cited_by_count":34,"area":null},{"id":"2403.07937","title":"Speech Robust Bench: A Robustness Benchmark For Speech Recognition","created":"2024-03-08","cited_by_count":21,"area":null},{"id":"2302.09457","title":"Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective","created":"2023-02-19","cited_by_count":20,"area":null},{"id":"2405.06134","title":"Muting Whisper: A Universal Acoustic Adversarial Attack on Speech Foundation Models","created":"2024-05-09","cited_by_count":12,"area":null},{"id":"2104.02757","title":"Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models","created":"2021-04-06","cited_by_count":10,"area":null},{"id":"2306.07655","title":"Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems","created":"2023-06-13","cited_by_count":10,"area":null},{"id":"2403.02955","title":"XAI-Based Detection of Adversarial Attacks on Deepfake Detectors","created":"2024-03-05","cited_by_count":9,"area":null},{"id":"2411.14842","title":"Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models","created":"2024-11-22","cited_by_count":7,"area":null},{"id":"2408.09300","title":"Malacopula: adversarial automatic speaker verification attacks using a neural-based generalised Hammerstein model","created":"2024-08-17","cited_by_count":6,"area":null},{"id":"2102.06747","title":"Realizable Universal Adversarial Perturbations for Malware","created":"2021-02-12","cited_by_count":5,"area":null},{"id":"2204.11304","title":"Dictionary Attacks on Speaker Verification","created":"2022-04-24","cited_by_count":5,"area":null},{"id":"2408.01808","title":"ALIF: Low-Cost Adversarial Audio Attacks on Black-Box Speech Platforms using Linguistic Features","created":"2024-08-03","cited_by_count":5,"area":null},{"id":"2103.10651","title":"SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems","created":"2021-03-19","cited_by_count":4,"area":null},{"id":"2312.17431","title":"MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World","created":"2023-12-29","cited_by_count":4,"area":null},{"id":"2411.09220","title":"Transferable Adversarial Attacks against ASR","created":"2024-11-14","cited_by_count":4,"area":null},{"id":"2407.04482","title":"Controlling Whisper: Universal Acoustic Adversarial Attacks to Control Speech Foundation Models","created":"2024-07-05","cited_by_count":2,"area":null},{"id":"2504.00858","title":"Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems","created":"2025-04-01","cited_by_count":2,"area":null},{"id":"2112.01821","title":"Catch Me If You Can: Blackbox Adversarial Attacks on Automatic Speech Recognition using Frequency Masking","created":"2021-12-03","cited_by_count":1,"area":null},{"id":"2203.09849","title":"Neural Predictor for Black-Box Adversarial Attacks on Speech Recognition","created":"2022-03-18","cited_by_count":1,"area":null},{"id":"2208.02250","title":"Adversarial Attacks on ASR Systems: An Overview","created":"2022-08-03","cited_by_count":1,"area":null},{"id":"2210.15997","title":"Universal Adversarial Directions","created":"2022-10-28","cited_by_count":1,"area":null},{"id":"2304.08811","title":"Towards the Transferable Audio Adversarial Attack via Ensemble Methods","created":"2023-04-18","cited_by_count":1,"area":null},{"id":"2402.01227","title":"STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition","created":"2024-02-02","cited_by_count":1,"area":null},{"id":"2403.08806","title":"Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning","created":"2024-02-06","cited_by_count":1,"area":null},{"id":"2208.08509","title":"Analyzing Robustness of End-to-End Neural Models for Automatic Speech Recognition","created":"2022-08-17","cited_by_count":0,"area":null},{"id":"2309.11462","title":"AudioFool: Fast, Universal and synchronization-free Cross-Domain Attack on Speech Recognition","created":"2023-09-20","cited_by_count":0,"area":null},{"id":"2503.11627","title":"Are Deep Speech Denoising Models Robust to Adversarial Noise?","created":"2025-03-14","cited_by_count":0,"area":null},{"id":"2505.19951","title":"Novel Loss-Enhanced Universal Adversarial Patches for Sustainable Speaker Privacy","created":"2025-05-26","cited_by_count":0,"area":null},{"id":"2506.11125","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","created":"2025-06-10","cited_by_count":0,"area":null},{"id":"2606.05678","title":"Beyond Waveform Robustness: Robust Feature-Vocoder Adversarial Attacks on Automatic Speech Recognition","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2606.06833","title":"Hearing the Unspoken: Language Model Priors for Acoustic Adversarial Attacks","created":"2026-06-05","cited_by_count":0,"area":null},{"id":"2608.30951","title":"Audio-Driven Adversarial Defense for 3D Talking Face Generation with totally Visual Fidelity Preservation","created":"2026-08-31","cited_by_count":0,"area":null}],"next_cursor":null}