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Adversarial Learning

4,859 papers

Papers per year

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Papers

Universal Adversarial Attacks on Spoken Language Assessment Systems INTERSPEECH 2020
Adversarial Dictionary Learning for Monaural Speech Enhancement INTERSPEECH 2020
The Attacker’s Perspective on Automatic Speaker Verification: An Overview INTERSPEECH 2020
Inaudible Adversarial Perturbations for Targeted Attack in Speaker Recognition INTERSPEECH 2020
x-Vectors Meet Adversarial Attacks: Benchmarking Adversarial Robustness in Speaker Verification INTERSPEECH 2020
Black-Box Attacks on Spoofing Countermeasures Using Transferability of Adversarial Examples INTERSPEECH 2020
Adversarial Separation and Adaptation Network for Far-Field Speaker Verification INTERSPEECH 2020
Multi-Reference Neural TTS Stylization with Adversarial Cycle Consistency INTERSPEECH 2020
HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks INTERSPEECH 2020
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification INTERSPEECH 2020
Detecting Audio Attacks on ASR Systems with Dropout Uncertainty INTERSPEECH 2020
Non-Parallel Voice Conversion with Fewer Labeled Data by Conditional Generative Adversarial Networks INTERSPEECH 2020
Style Variation as a Vantage Point for Code-Switching INTERSPEECH 2020
Increasing the Intelligibility and Naturalness of Alaryngeal Speech Using Voice Conversion and Synthetic Fundamental Frequency INTERSPEECH 2020
A Model of Fake Data in Data-driven Analysis JMLR 2020
Branch and Bound for Piecewise Linear Neural Network Verification JMLR 2020
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data JMLR 2020
Multi-Player Bandits: The Adversarial Case JMLR 2020
Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective JMLR 2020
Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for High-Dimensional Images JMLR 2020
Online Data Poisoning Attacks L4DC 2020
Addressing The False Negative Problem of Deep Learning MRI Reconstruction Models by Adversarial Attacks and Robust Training MIDL 2020
Attentive Adversarial Network for Large-Scale Sleep Staging MLHC 2020
Kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification SEMEVAL 2020
Robust Collective Classification against Structural Attacks UAI 2020