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ORCIDVera Rimmer
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- affiliation: KU Leuven, Belgium
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2020 – today
- 2024
[i4]Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W. N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadwha-Brown, Isabel Wagner, Gang Wang:
SoK: On the Offensive Potential of AI. CoRR abs/2412.18442 (2024)- 2023
- [i3]Ilias Tsingenopoulos, Vera Rimmer, Davy Preuveneers, Fabio Pierazzi
, Lorenzo Cavallaro, Wouter Joosen:
Adversarial Markov Games: On Adaptive Decision-Based Attacks and Defenses. CoRR abs/2312.13435 (2023) - 2022
- [j1]Vera Rimmer, Theodor Schnitzler, Tom van Goethem, Abel Rodríguez Romero, Wouter Joosen, Katharina Kohls:
Trace Oddity: Methodologies for Data-Driven Traffic Analysis on Tor. Proc. Priv. Enhancing Technol. 2022(3): 314-335 (2022) - [c4]Ali Mohammad Shafiei, Vera Rimmer, Ilias Tsingenopoulos, Lieven Desmet, Wouter Joosen:
Position Paper: On Advancing Adversarial Malware Generation Using Dynamic Features. WoRMA@AsiaCCS 2022: 15-20 - [p3]Azqa Nadeem, Vera Rimmer, Wouter Joosen, Sicco Verwer:
Intelligent Malware Defenses. Security and Artificial Intelligence 2022: 217-253 - [p2]Vera Rimmer, Azqa Nadeem, Sicco Verwer, Davy Preuveneers, Wouter Joosen:
Open-World Network Intrusion Detection. Security and Artificial Intelligence 2022: 254-283 - 2021
- [c3]Gints Engelen, Vera Rimmer, Wouter Joosen:
Troubleshooting an Intrusion Detection Dataset: the CICIDS2017 Case Study. SP (Workshops) 2021: 7-12
2010 – 2019
- 2018
- [c2]Vera Rimmer, Davy Preuveneers, Marc Juarez, Tom van Goethem, Wouter Joosen:
Automated Website Fingerprinting through Deep Learning. NDSS 2018 - [c1]Giuseppe Garofalo, Vera Rimmer, Tim Van hamme, Davy Preuveneers, Wouter Joosen:
Fishy Faces: Crafting Adversarial Images to Poison Face Authentication. WOOT @ USENIX Security Symposium 2018 - [i2]Tim Van hamme, Vera Rimmer, Davy Preuveneers, Wouter Joosen, Mustafa A. Mustafa, Aysajan Abidin, Enrique Argones-Rúa:
Frictionless Authentication Systems: Emerging Trends, Research Challenges and Opportunities. CoRR abs/1802.07233 (2018) - 2017
- [p1]Davy Preuveneers, Arun Ramakrishnan, Tim Van hamme, Vera Rimmer, Yolande Berbers, Wouter Joosen:
A Survey on Applying Machine Learning Techniques for Behavioral Awareness. State of the Art in AI Applied to Ambient Intelligence 2017: 1-34 - [i1]Vera Rimmer, Davy Preuveneers, Marc Juarez, Tom van Goethem, Wouter Joosen:
Automated Feature Extraction for Website Fingerprinting through Deep Learning. CoRR abs/1708.06376 (2017)
Coauthor Index
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