Network Intrusion Detection Using Flow Statistics. - Buse Gul Atli; Yoan Miche; Alexander Jung (SSP, 2018)

An Intelligent Defense and Filtration Platform for Network Traffic. - Mehrnoosh Monshizadeh; Vikramajeet Khatri; Buse Gul Atli; Raimo Kantola (WWIC, 2018)

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 (Cogn. Comput., 2018)

Online Feature Ranking for Intrusion Detection Systems. - Buse Gul Atli; Alexander Jung (CoRR, 2018)

Human-guided data exploration using randomisation. - Kai Puolamäki; Emilia Oikarinen; Buse Gul Atli; Andreas Henelius (CoRR, 2018)

Making Targeted Black-box Evasion Attacks Effective and Efficient. - Mika Juuti; Buse Gul Atli; N. Asokan (AISec@CCS, 2019)

Performance Evaluation of a Combined Anomaly Detection Platform. - Mehrnoosh Monshizadeh; Vikramajeet Khatri; Buse Gul Atli; Raimo Kantola; Zheng Yan 002 (IEEE Access, 2019)

Extraction of Complex DNN Models: Real Threat or Boogeyman? - Buse Gul Atli; Sebastian Szyller; Mika Juuti; Samuel Marchal; N. Asokan (CoRR, 2019)

DAWN: Dynamic Adversarial Watermarking of Neural Networks. - Sebastian Szyller; Buse Gul Atli; Samuel Marchal; N. Asokan (ACM Multimedia, 2021)

WAFFLE: Watermarking in Federated Learning. - Buse G. A. Tekgul; Yuxi Xia; Samuel Marchal; N. Asokan (SRDS, 2021)

Real-time Attacks Against Deep Reinforcement Learning Policies. - Buse G. A. Tekgul; Shelly Wang; Samuel Marchal; N. Asokan (CoRR, 2021)

On the Effectiveness of Dataset Watermarking. - Buse Gul Atli Tekgul; N. Asokan (IWSPA@CODASPY, 2022)

Real-Time Adversarial Perturbations Against Deep Reinforcement Learning Policies: Attacks and Defenses. - Buse G. A. Tekgul; Shelly Wang; Samuel Marchal; N. Asokan (ESORICS (3), 2022)

On the Effectiveness of Dataset Watermarking in Adversarial Settings. - Buse Gul Atli Tekgul; N. Asokan (CoRR, 2022)

Securing Machine Learning: Streamlining Attacks and Defenses Under Realistic Adversary Models. - Buse G. A. Tekgul (2022)

FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks. - Buse G. A. Tekgul; N. Asokan (ACSAC, 2023)