Day 5 (Sept. 18)
13:50 - 15:20 Afternoon Session 1
- Claudia Greco — Welcome speech
- Daichi Uezono, Misato Ito, Satoshi Hara, Takayuki Sasaki and Katsunari Yoshioka — DarkWrt: A Router Firmware Testbed for Hidden Functionality Detection
- Daniel Karcz and Marcin Niemiec — Lightweight Feature-Based Power Side-Channel Analysis of ML-KEM on Embedded Platforms
- Donna Naadu Botchway, Janaka Senanayake, Christopher McDermott and Hatem Ahriz — PARENT: An Interpretable and Human-Centred Privacy Auditing Tool for Mobile Applications
- Bruno Mircevski and Krzysztof Jurczuk — What Google Knows: Measuring Telemetry and Identifier Exposure Across Privacy-Focused Android Operating Systems
- Chathuranga Sampath Kalutharage, Brendon Fowley, Cason Brady and Matthew Bradbury — Trading Appliance Liveness for Home Electricity Consumption Privacy
15:20 - 15:40: Coffee break
15:40 - 17:10 Afternoon Session 2
- Viet Anh Phan, Mingyu Ma, Van Tung Doan, Giang T. Nguyen, Frank H.P. Fitzek, Jan Jerabek, Lukas Malina and Jiri Hosek — In-Network IoT Intrusion Detection Using Principal Component Analysis and Machine Learning Models on P4 Programmable Data Planes
- Eleftherios Eleftheriadis, Jens Lindemann, Jeetesh Gupta, Sascha Löbner, Mathias Fischer and Hannes Federrath — FIIPS@Home+: Towards a Decentralized, Privacy-Preserving and Explainable Edge Security Architecture for Smart Homes and SMEs
- Panayiotis Kalogeropoulos and Panayiotis Kotzanikolaou — Hiding in Plain Sight: Defeating Advanced Tracking in VANET
- Reza Shahbazian, Georgios Spathoulas and Aida Aakbarzadeh — FedXParity: A unified framework for fairness, privacy, and explainability in federated learning
Accepted Papers
- DarkWrt: A Router Firmware Testbed for Hidden Functionality Detection, Daichi Uezono, Misato Ito, Satoshi Hara, Takayuki Sasaki and Katsunari Yoshioka
- Lightweight Feature-Based Power Side-Channel Analysis of ML-KEM on Embedded Platforms, Daniel Karcz and Marcin Niemiec
- PARENT: An Interpretable and Human-Centred Privacy Auditing Tool for Mobile Applications, Donna Naadu Botchway, Janaka Senanayake, Christopher McDermott and Hatem Ahriz
- What Google Knows: Measuring Telemetry and Identifier Exposure Across Privacy-Focused Android Operating Systems, Bruno Mircevski and Krzysztof Jurczuk
- Trading Appliance Liveness for Home Electricity Consumption Privacy, Chathuranga Sampath Kalutharage, Brendon Fowley, Cason Brady and Matthew Bradbury
- In-Network IoT Intrusion Detection Using Principal Component Analysis and Machine Learning Models on P4 Programmable Data Planes, Viet Anh Phan, Mingyu Ma, Van Tung Doan, Giang T. Nguyen, Frank H.P. Fitzek, Jan Jerabek, Lukas Malina and Jiri Hosek
- FIIPS@Home+: Towards a Decentralized, Privacy-Preserving and Explainable Edge Security Architecture for Smart Homes and SMEs, Eleftherios Eleftheriadis, Jens Lindemann, Jeetesh Gupta, Sascha Löbner, Mathias Fischer and Hannes Federrath
- Hiding in Plain Sight: Defeating Advanced Tracking in VANET, Panayiotis Kalogeropoulos and Panayiotis Kotzanikolaou
- FedXParity: A unified framework for fairness, privacy, and explainability in federated learning, Reza Shahbazian, Georgios Spathoulas and Aida Aakbarzadeh