Buse G. A. Tekgul

Orcid: 0000-0002-4120-6860

Affiliations:
  • Nokia Bell Labs, Espoo, Finland


According to our database1, Buse G. A. Tekgul authored at least 16 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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Bibliography

2023
FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks.
Proceedings of the Annual Computer Security Applications Conference, 2023

2022
Securing Machine Learning: Streamlining Attacks and Defenses Under Realistic Adversary Models.
PhD thesis, 2022

On the Effectiveness of Dataset Watermarking in Adversarial Settings.
CoRR, 2022

Real-Time Adversarial Perturbations Against Deep Reinforcement Learning Policies: Attacks and Defenses.
Proceedings of the Computer Security - ESORICS 2022, 2022

On the Effectiveness of Dataset Watermarking.
Proceedings of the IWSPA@CODASPY 2022: Proceedings of the 2022 ACM on International Workshop on Security and Privacy Analytics, 2022

2021
Real-time Attacks Against Deep Reinforcement Learning Policies.
CoRR, 2021

WAFFLE: Watermarking in Federated Learning.
Proceedings of the 40th International Symposium on Reliable Distributed Systems, 2021

DAWN: Dynamic Adversarial Watermarking of Neural Networks.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2019
Extraction of Complex DNN Models: Real Threat or Boogeyman?
CoRR, 2019

Performance Evaluation of a Combined Anomaly Detection Platform.
IEEE Access, 2019

Making Targeted Black-box Evasion Attacks Effective and Efficient.
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019

2018
Human-guided data exploration using randomisation.
CoRR, 2018

Online Feature Ranking for Intrusion Detection Systems.
CoRR, 2018

Anomaly-Based Intrusion Detection Using Extreme Learning Machine and Aggregation of Network Traffic Statistics in Probability Space.
Cogn. Comput., 2018

An Intelligent Defense and Filtration Platform for Network Traffic.
Proceedings of the Wired/Wireless Internet Communications, 2018

Network Intrusion Detection Using Flow Statistics.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018


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