2025:

  • Marszałek, P., Rut, M., Kawa, P., & Syga, P. “A Hypernetwork-Based Approach to KAN Representation of Audio Signals”
    • arXiv
    • PDF
    • Topics: generative audio, Kolmogorov-Arnold networks, hypernetworks, implicit neural representations
  • Müller, N., Kawa, P., Stan, A., Doan, T.-P., Jung, S., Choong, W. H., Sperl, P., & Böttinger, K. “DeePen: Penetration Testing for Audio Deepfake Detection”
    • arXiv
    • PDF
    • Topics: anti-spoofing, datasets, speech processing, audio processing
  • Müller, N., Kawa, P., Choong, W. H., Stan, A., Bukkapatnam, A. T., Pizzi, K., Wagner, A., & Sperl, P. “Replay Attacks Against Audio Deepfake Detection”
    • Accepted to INTERSPEECH 2025
    • PDF
    • Dataset
    • Topics: anti-spoofing, datasets, speech processing, audio processing

2024:

  • Marek, B., Kawa, P., Syga, P. “Are audio DeepFake detection models polyglots?”
    • arXiv
    • PDF
    • Implementation
    • Topics: anti-spoofing, multi-language, speech processing, audio processing
  • Müller, N. M., Kawa, P., Hu, S., Williams, J., Sperl, P. & Böttinger, K. “A New Approach to Voice Authenticity”
    • Proceedings of INTERSPEECH 2024
    • PDF
    • Topics: anti-spoofing, datasets, speech processing, audio processing
  • Müller, N. M., Kawa, P., Choong, W. H., Casanova, E., Gölge, E., Müller, T., Syga, P., Sperl, P. & Böttinger, K. “MLAAD: The Multi-Language Audio Anti-Spoofing Dataset”
    • Proceedings of IJCNN 2024
    • PDF
    • Topics: anti-spoofing, datasets, multi-language, speech processing, audio processing

2023:

  • Kawa, P., Plata, M., Czuba M., Szymański P., & Syga, P. “Improved DeepFake Detection Using Whisper Features”
    • Proceedings of INTERSPEECH 2023
    • PDF
    • Implementation
    • Topics: DeepFake detection, Whisper ASR, speech processing, audio processing
  • Kawa, P., Plata, M., & Syga, P. “Defense against Adversarial Attacks on Audio DeepFake Detection”
    • Proceedings of INTERSPEECH 2023
    • Demo
    • PDF
    • Implementation
    • Topics: DeepFake detection, speech processing, audio processing, adversarial attacks

2022:

  • Kawa, P., Plata, M., & Syga, P. “SpecRNet: Towards Faster and More Accessible Audio DeepFake Detection”
    • Proceedings of TrustCom 2022
    • PDF
    • Implementation
    • Topics: DeepFake detection, speech processing, audio processing
  • Kawa, P., Plata, M., & Syga, P. “Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake”
    • Proceedings of INTERSPEECH 2022
    • PDF
    • Implementation
    • Topics: neural networks generalization, DeepFake detection, speech processing, audio processing

2021:

  • Kawa, P., & Syga, P. “Verify It Yourself: A Note on Activation Functions’ Influence on Fast DeepFake Detection”
    • Proceedings of SECRYPT 2021
    • PDF
    • Topics: DeepFake detection, video processing, activation functions

2020:

  • Kawa, P., & Syga, P. “A note on deepfake detection with low-resources”
    • arXiv preprint
    • PDF
    • Tags: DeepFake detection, video processing, activation functions