Philip Sperl
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
6
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ECAI | GRASPED: Graph Anomaly Detection Using Autoencoder with Spectral Encoder and Decoder. | Wei Herng Choong, Jixing Liu, Ching-Yu Kao, Philip Sperl |
| 2025 | Interspeech | Replay Attacks Against Audio Deepfake Detection. | Nicolas M. Mller, Piotr Kawa, Wei Herng Choong, Adriana Stan, Aditya Tirumala Bukkapatnam, Karla Pizzi, Alexander Wagner, Philip Sperl |
| 2024 | IJCNN | MLAAD: The Multi-Language Audio Anti-Spoofing Dataset. | Nicolas M. Mller, Piotr Kawa, Wei Herng Choong, Edresson Casanova, Eren Glge, Thorsten Mller, Piotr Syga, Philip Sperl, Konstantin Bttinger |
| 2024 | IJCNN | Shortcut Detection With Variational Autoencoders. | Nicolas M. Mller, Simon Roschmann, Shahbaz Khan, Philip Sperl, Konstantin Bttinger |
| 2024 | Interspeech | Harder or Different? Understanding Generalization of Audio Deepfake Detection. | Nicolas M. Mller, Nicholas W. D. Evans, Hemlata Tak, Philip Sperl, Konstantin Bttinger |
| 2024 | Interspeech | A New Approach to Voice Authenticity. | Nicolas M. Mller, Piotr Kawa, Shen Hu, Matthias Neu, Jennifer Williams, Philip Sperl, Konstantin Bttinger |
| 2023 | BMVC | Protecting Publicly Available Data With Machine Learning Shortcuts. | Nicolas M. Mller, Maximilian Burgert, Pascal Debus, Jennifer Williams, Philip Sperl, Konstantin Bttinger |
| 2023 | Interspeech | Complex-valued neural networks for voice anti-spoofing. | Nicolas M. Mller, Philip Sperl, Konstantin Bttinger |
| 2022 | CCS | Assessing the Impact of Transformations on Physical Adversarial Attacks. | Paul Andrei Sava, Jan-Philipp Schulze, Philip Sperl, Konstantin Bttinger |
| 2022 | IJCNN | Anomaly Detection by Recombining Gated Unsupervised Experts. | Jan-Philipp Schulze, Philip Sperl, Konstantin Bttinger |
| 2022 | IJCNN | Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators. | Jan-Philipp Schulze, Philip Sperl, Konstantin Bttinger |
| 2021 | ESORICS | DA3G: Detecting Adversarial Attacks by Analysing Gradients. | Jan-Philipp Schulze, Philip Sperl, Konstantin Bttinger |
| 2019 | ESORICS | Side-Channel Aware Fuzzing. | Philip Sperl, Konstantin Bttinger |