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Adversarial Learning

2063 directly classified papers

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StarGAN-VC+ASR: StarGAN-Based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition INTERSPEECH 2021
Investigating Contributions of Speech and Facial Landmarks for Talking Head Generation INTERSPEECH 2021
Basis-MelGAN: Efficient Neural Vocoder Based on Audio Decomposition INTERSPEECH 2021
High-Fidelity Parallel WaveGAN with Multi-Band Harmonic-Plus-Noise Model INTERSPEECH 2021
Pairing Weak with Strong: Twin Models for Defending Against Adversarial Attack on Speaker Verification INTERSPEECH 2021
Voting for the Right Answer: Adversarial Defense for Speaker Verification INTERSPEECH 2021
Adversarial Data Augmentation for Disordered Speech Recognition INTERSPEECH 2021
Glow-WaveGAN: Learning Speech Representations from GAN-Based Variational Auto-Encoder for High Fidelity Flow-Based Speech Synthesis INTERSPEECH 2021
Unified Source-Filter GAN: Unified Source-Filter Network Based On Factorization of Quasi-Periodic Parallel WaveGAN INTERSPEECH 2021
GANSpeech: Adversarial Training for High-Fidelity Multi-Speaker Speech Synthesis INTERSPEECH 2021
UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation INTERSPEECH 2021
On the Transferability of Adversarial Attacks against Neural Text Classifier EMNLP 2021
Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup EMNLP 2021
Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification EMNLP 2021
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations EMNLP 2021
KnowMAN: Weakly Supervised Multinomial Adversarial Networks EMNLP 2021
BFClass: A Backdoor-free Text Classification Framework EMNLP 2021
Enhancing the Transferability of Adversarial Attacks Through Variance Tuning CVPR 2021
Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing CVPR 2021
Regularizing Generative Adversarial Networks Under Limited Data CVPR 2021
Regularizing Neural Networks via Adversarial Model Perturbation CVPR 2021
Backdoor Attacks Against Deep Learning Systems in the Physical World CVPR 2021
Dual Contradistinctive Generative Autoencoder CVPR 2021
Simpler Certified Radius Maximization by Propagating Covariances CVPR 2021
Universal Spectral Adversarial Attacks for Deformable Shapes CVPR 2021