{"total":28,"rows":[{"id":"2110.09714","title":"Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information","created":"2021-10-19","cited_by_count":25,"area":null},{"id":"2206.03393","title":"Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition","created":"2022-06-07","cited_by_count":23,"area":null},{"id":"2106.00273","title":"Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning","created":"2021-06-01","cited_by_count":16,"area":null},{"id":"2212.09006","title":"A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness","created":"2022-12-18","cited_by_count":13,"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":"2206.03351","title":"AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition Systems","created":"2022-06-07","cited_by_count":10,"area":null},{"id":"2305.14097","title":"QFA2SR: Query-Free Adversarial Transfer Attacks to Speaker Recognition Systems","created":"2023-05-23","cited_by_count":9,"area":null},{"id":"2309.06981","title":"MASTERKEY: Practical Backdoor Attack Against Speaker Verification Systems","created":"2023-09-13","cited_by_count":8,"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":"2105.10707","title":"Adversarial Attacks and Mitigation for Anomaly Detectors of Cyber-Physical Systems","created":"2021-05-22","cited_by_count":6,"area":null},{"id":"2203.04696","title":"Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition","created":"2022-03-09","cited_by_count":6,"area":null},{"id":"2505.14286","title":"Universal Acoustic Adversarial Attacks for Flexible Control of Speech-LLMs","created":"2025-05-20","cited_by_count":6,"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":"2109.01766","title":"SEC4SR: A Security Analysis Platform for Speaker Recognition","created":"2021-09-04","cited_by_count":3,"area":null},{"id":"2202.10594","title":"Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey","created":"2022-02-22","cited_by_count":3,"area":null},{"id":"2402.03477","title":"Arabic Synonym BERT-based Adversarial Examples for Text Classification","created":"2024-02-05","cited_by_count":3,"area":null},{"id":"2506.10685","title":"Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation","created":"2025-06-12","cited_by_count":3,"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":"2502.01649","title":"Safeguarding Privacy in Edge Speech Understanding with Tiny Foundation Models","created":"2025-01-29","cited_by_count":2,"area":null},{"id":"2203.05408","title":"Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems","created":"2022-03-10","cited_by_count":1,"area":null},{"id":"2204.08977","title":"Disappeared Command: Spoofing Attack On Automatic Speech Recognition Systems with Sound Masking","created":"2022-04-19","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":"2304.00813","title":"Model-Agnostic Reachability Analysis on Deep Neural Networks","created":"2023-04-03","cited_by_count":1,"area":null},{"id":"2207.02845","title":"Automating the Design and Development of Gradient Descent Trained Expert System Networks","created":"2022-07-04","cited_by_count":0,"area":null},{"id":"2302.08973","title":"Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition","created":"2023-02-17","cited_by_count":0,"area":null},{"id":"2306.17700","title":"Beyond Neural-on-Neural Approaches to Speaker Gender Protection","created":"2023-06-30","cited_by_count":0,"area":null},{"id":"2309.03238","title":"Implicit Design Choices and Their Impact on Emotion Recognition Model Development and Evaluation","created":"2023-09-06","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}],"next_cursor":null}