Philip Sperl - RankMe

39 papers A 7B 4Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Security-by-Design for LLM-Based Code Generation: Leveraging Internal Representations for Concept-Driven Steering Mechanisms. CoRR Maximilian Wendlinger, Daniel Kowatsch, Konstantin Böttinger, Philip Sperl
2026	J	`jnl`	You Told Me to Do It: Measuring Instructional Text-induced Private Data Leakage in LLM Agents. CoRR Ching-yu Kao, Xinfeng Li, Shenyu Dai, Tianze Qiu, Pengcheng Zhou, Eric Hanchen Jiang, Philip Sperl
2025	J	`jnl`	DeePen: Penetration Testing for Audio Deepfake Detection. CoRR Nicolas M. Müller, Piotr Kawa, Adriana Stan, Thien-Phuc Doan, Souhwan Jung, Wei Herng Choong, Philip Sperl, Konstantin Böttinger
2025	A	`conf`	GRASPED: Graph Anomaly Detection Using Autoencoder with Spectral Encoder and Decoder. ECAI Wei Herng Choong, Jixing Liu, Ching-yu Kao, Philip Sperl
2025	J	`jnl`	GRASPED: Graph Anomaly Detection using Autoencoder with Spectral Encoder and Decoder (Full Version). CoRR Wei Herng Choong, Jixing Liu, Ching-yu Kao, Philip Sperl
2025	A	`conf`	Replay Attacks Against Audio Deepfake Detection. INTERSPEECH Nicolas M. Müller, Piotr Kawa, Wei Herng Choong, Adriana Stan, Aditya Tirumala Bukkapatnam, Karla Pizzi, Alexander Wagner, Philip Sperl
2025	J	`jnl`	Replay Attacks Against Audio Deepfake Detection. CoRR Nicolas M. Müller, Piotr Kawa, Wei Herng Choong, Adriana Stan, Aditya Tirumala Bukkapatnam, Karla Pizzi, Alexander Wagner, Philip Sperl
2024	A	`conf`	A New Approach to Voice Authenticity. INTERSPEECH Nicolas M. Müller, Piotr Kawa, Shen Hu, Matthias Neu, Jennifer Williams, Philip Sperl, Konstantin Böttinger
2024	J	`jnl`	A New Approach to Voice Authenticity. CoRR Nicolas M. Müller, Piotr Kawa, Shen Hu, Matthias Neu, Jennifer Williams, Philip Sperl, Konstantin Böttinger
2024	A	`conf`	Harder or Different? Understanding Generalization of Audio Deepfake Detection. INTERSPEECH Nicolas M. Müller, Nicholas W. D. Evans, Hemlata Tak, Philip Sperl, Konstantin Böttinger
2024	J	`jnl`	Harder or Different? Understanding Generalization of Audio Deepfake Detection. CoRR Nicolas M. Müller, Nicholas W. D. Evans, Hemlata Tak, Philip Sperl, Konstantin Böttinger
2024	J	`jnl`	Imbalance in Regression Datasets. CoRR Daniel Kowatsch, Nicolas M. Müller, Kilian Tscharke, Philip Sperl, Konstantin Böttinger
2024	B	`conf`	MLAAD: The Multi-Language Audio Anti-Spoofing Dataset. IJCNN Nicolas M. Müller, Piotr Kawa, Wei Herng Choong, Edresson Casanova, Eren Gölge, Thorsten Müller, Piotr Syga, Philip Sperl, Konstantin Böttinger
2024	J	`jnl`	MLAAD: The Multi-Language Audio Anti-Spoofing Dataset. CoRR Nicolas M. Müller, Piotr Kawa, Wei Herng Choong, Edresson Casanova, Eren Gölge, Thorsten Müller, Piotr Syga, Philip Sperl, Konstantin Böttinger
2024	B	`conf`	Shortcut Detection With Variational Autoencoders. IJCNN Nicolas M. Müller, Simon Roschmann, Shahbaz Khan, Philip Sperl, Konstantin Böttinger
2023	A	`conf`	Complex-valued neural networks for voice anti-spoofing. INTERSPEECH Nicolas M. Müller, Philip Sperl, Konstantin Böttinger
2023	J	`jnl`	Complex-valued neural networks for voice anti-spoofing. CoRR Nicolas M. Müller, Philip Sperl, Konstantin Böttinger
2023	—	`—`	Defending Neural Networks with Activation Analysis. Philip Sperl
2023	J	`jnl`	Physical Adversarial Examples for Multi-Camera Systems. CoRR Ana Radutoiu, Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2023	A	`conf`	Protecting Publicly Available Data With Machine Learning Shortcuts. BMVC Nicolas M. Müller, Maximilian Burgert, Pascal Debus, Jennifer Williams, Philip Sperl, Konstantin Böttinger
2023	J	`jnl`	Protecting Publicly Available Data With Machine Learning Shortcuts. CoRR Nicolas M. Müller, Maximilian Burgert, Pascal Debus, Jennifer Williams, Philip Sperl, Konstantin Böttinger
2023	J	`jnl`	Shortcut Detection with Variational Autoencoders. CoRR Nicolas M. Müller, Simon Roschmann, Shahbaz Khan, Philip Sperl, Konstantin Böttinger
2022	B	`conf`	Anomaly Detection by Recombining Gated Unsupervised Experts. IJCNN Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2022	—	`conf`	Assessing the Impact of Transformations on Physical Adversarial Attacks. AISec@CCS Paul Andrei Sava, Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2022	B	`conf`	Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators. IJCNN Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2022	—	`conf`	R2-AD2: Detecting Anomalies by Analysing the Raw Gradient. ECML/PKDD (1) Jan-Philipp Schulze, Philip Sperl, Ana Radutoiu, Carla Sagebiel, Konstantin Böttinger
2022	J	`jnl`	R2-AD2: Detecting Anomalies by Analysing the Raw Gradient. CoRR Jan-Philipp Schulze, Philip Sperl, Ana Radutoiu, Carla Sagebiel, Konstantin Böttinger
2022	J	`jnl`	Visualizing Automatic Speech Recognition - Means for a Better Understanding? CoRR Karla Markert, Romain Parracone, Mykhailo Kulakov, Philip Sperl, Ching-yu Kao, Konstantin Böttinger
2021	—	`conf`	DA3G: Detecting Adversarial Attacks by Analysing Gradients. ESORICS (1) Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2021	J	`jnl`	Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators. CoRR Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2021	J	`jnl`	Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning. CoRR Franziska Boenisch, Philip Sperl, Konstantin Böttinger
2020	J	`jnl`	A CoRR Philip Sperl, Jan-Philipp Schulze, Konstantin Böttinger
2020	—	`conf`	Activation Anomaly Analysis. ECML/PKDD (2) Philip Sperl, Jan-Philipp Schulze, Konstantin Böttinger
2020	J	`jnl`	Anomaly Detection by Recombining Gated Unsupervised Experts. CoRR Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2020	A	`conf`	DLA: Dense-Layer-Analysis for Adversarial Example Detection. EuroS&P Philip Sperl, Ching-yu Kao, Peng Chen, Xiao Lei, Konstantin Böttinger
2020	J	`jnl`	Optimizing Information Loss Towards Robust Neural Networks. CoRR Philip Sperl, Konstantin Böttinger
2019	J	`jnl`	DLA: Dense-Layer-Analysis for Adversarial Example Detection. CoRR Philip Sperl, Ching-yu Kao, Peng Chen, Konstantin Böttinger
2019	—	`conf`	Side-Channel Aware Fuzzing. ESORICS (1) Philip Sperl, Konstantin Böttinger
2019	J	`jnl`	Side-Channel Aware Fuzzing. CoRR Philip Sperl, Konstantin Böttinger