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Philip Sperl — most-cited papers & profile · Cybersecurity
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Philip Sperl
5
papers ·
14
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning
2021 · 8 citations
Optimizing Information Loss Towards Robust Neural Networks
2020 · 5 citations
DeePen: Penetration Testing for Audio Deepfake Detection
2025 · 1 citations
Top co-authors
Konstantin B\"ottinger
· 2
Adriana Stan
· 1
Franziska Boenisch
· 1
Konstantin Böttinger
· 1
Nicolas M\"uller
· 1
Piotr Kawa
· 1
Souhwan Jung
· 1
Thien-Phuc Doan
· 1
Wei Herng Choong
· 1
Topics
Adversarial ML
Vulnerability Detection
Malware Detection
Anomaly Detection
Forensics
Network Security
Privacy