Publications

FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks

ACSAC'23, Annual Computer Security Applications Conference
Buse G. A. Tekgul, N. Asokan

Paper ArXiv Code Slides

Securing Machine Learning: Streamlining Attacks and Defenses Under Realistic Adversary Models

Doctoral Thesis, Aalto University, 2022
Buse G. A. Tekgul
Electronic Thesis

Vision, Challenges & Opportunities

Private AI Collaborative Research Institute
Paper

Real-time Adversarial Perturbations against Deep Reinforcement Learning Policies: Attacks and Defenses

ESORICS'22, 27th European Symposium on Research in Computer Security
Buse G. A. Tekgul, Shelly Wang, Samuel Marchal, N. Asokan
Paper ArXiv Code Slides

On the Effectiveness of Dataset Watermarking in Adversarial Settings

CODASPY-IWSPA'22, 8th ACM International Workshop on Security and Privacy Analytics
Buse G. A. Tekgul, N. Asokan
Paper ArXiv, Please email for the code. Slides

WAFFLE: Watermarking in Federated Learning

SRDS'21, The 40th International Symposium on Reliable Distributed Systems
Buse G. A. Tekgul, Yuxi Xia, Samuel Marchal, N. Asokan
Paper ArXiv Code Slides

DAWN: Dynamic Adversarial Watermarking of Neural Networks

ACMMM'21, 29th ACM Conference on Multimedia
Sebastian Szyller, Buse G. A. Tekgul, Samuel Marchal, N Asokan
Paper ArXiv Code

Extraction of Complex DNN Models: Real Threat or Boogeyman?

AAAI-EDSMLS'20, International Workshop on Engineering Dependable and Secure Machine Learning Systems
Buse G. A. Tekgul, Sebastian Szyller, Mika Juuti, Samuel Marchal, N. Asokan
Paper ArXiv, Please email for the code. Slides

Making Targeted Black-box Evasion Attacks Effective and Efficient

AISec'19, 12th ACM Workshop on Artificial Intelligence and Security
Mika Juuti, Buse G. A. Tekgul, N. Asokan
Paper ArXiv, Please email for the code. Slides

An Intelligent Defense and Filtration Platform for Network Traffic

IFIP-WWIC'2018, The 16th International Conference on Wired/Wireless Internet Communications
Mehrnoosh Monshizadeh, Vikramajeet Khatri, Buse Atli, Raimo Kantola
Paper

Network Intrusion Detection Using Flow Statistics

SSP'2018, IEEE Statistical Signal Processing Workshop
Buse Atli, Yoan Miche, Alexander Jung
Paper

Anomaly-Based Intrusion Detection Using Extreme Learning Machine and Aggregation of Network Traffic Statistics in Probability Space

Buse Gul Atli, Yoan Miche, Aapo Kalliola, Ian Oliver, Silke Holtmanns, Amaury Lendasse
2018, Cognitive Computation
Paper

Anomaly-Based Intrusion Detection by Modeling Probability Distributions of Flow Characteristics

Master's Thesis, Aalto University, 2017
Buse Atli
Electronic Thesis

Learning Flow Characteristics Distributions With Elm for Distributed Denial of Service Detection and Mitigation

Aapo Kalliola, Yoan Miche, Ian Oliver, Silke Holtmanns, Buse Atli, Amaury Lendasse, Kaj-Mikael Bjork, Anton Akusok, Tuomas Aura
ELM'2016, The 7th International Conference on Extreme Learning Machines
Paper