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ORCIDBuse G. A. Tekgul
Person information
- affiliation: Nokia Bell Labs, Espoo, Finland
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2020 – today
- 2023
[c8]Buse G. A. Tekgul
, N. Asokan:
FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks. ACSAC 2023: 492-505- [i9]Buse G. A. Tekgul, N. Asokan:
FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks. CoRR abs/2307.14751 (2023) - 2022
- [b1]Buse G. A. Tekgul:
Securing Machine Learning: Streamlining Attacks and Defenses Under Realistic Adversary Models. Aalto University, Espoo, Finland, 2022 - [c7]Buse Gul Atli Tekgul, N. Asokan:
On the Effectiveness of Dataset Watermarking. IWSPA@CODASPY 2022: 93-99 - [c6]Buse G. A. Tekgul, Shelly Wang, Samuel Marchal, N. Asokan:
Real-Time Adversarial Perturbations Against Deep Reinforcement Learning Policies: Attacks and Defenses. ESORICS (3) 2022: 384-404 - [i8]Buse Gul Atli Tekgul, N. Asokan:
On the Effectiveness of Dataset Watermarking in Adversarial Settings. CoRR abs/2202.12506 (2022) - 2021
- [c5]Sebastian Szyller, Buse Gul Atli, Samuel Marchal, N. Asokan:
DAWN: Dynamic Adversarial Watermarking of Neural Networks. ACM Multimedia 2021: 4417-4425 - [c4]Buse G. A. Tekgul, Yuxi Xia, Samuel Marchal, N. Asokan:
WAFFLE: Watermarking in Federated Learning. SRDS 2021: 310-320 - [i7]Buse G. A. Tekgul, Shelly Wang, Samuel Marchal, N. Asokan:
Real-time Attacks Against Deep Reinforcement Learning Policies. CoRR abs/2106.08746 (2021) - 2020
- [i6]Buse Gul Atli, Yuxi Xia, Samuel Marchal, N. Asokan:
WAFFLE: Watermarking in Federated Learning. CoRR abs/2008.07298 (2020)
2010 – 2019
- 2019
- [j2]Mehrnoosh Monshizadeh, Vikramajeet Khatri, Buse Gul Atli, Raimo Kantola, Zheng Yan:
Performance Evaluation of a Combined Anomaly Detection Platform. IEEE Access 7: 100964-100978 (2019) - [c3]Mika Juuti, Buse Gul Atli, N. Asokan:
Making Targeted Black-box Evasion Attacks Effective and Efficient. AISec@CCS 2019: 83-94 - [i5]Sebastian Szyller, Buse Gul Atli, Samuel Marchal, N. Asokan:
DAWN: Dynamic Adversarial Watermarking of Neural Networks. CoRR abs/1906.00830 (2019) - [i4]Mika Juuti, Buse Gul Atli, N. Asokan:
Making targeted black-box evasion attacks effective and efficient. CoRR abs/1906.03397 (2019) - [i3]Buse Gul Atli, Sebastian Szyller, Mika Juuti, Samuel Marchal, N. Asokan:
Extraction of Complex DNN Models: Real Threat or Boogeyman? CoRR abs/1910.05429 (2019) - 2018
- [j1]Buse Gul Atli, Yoan Miche, Aapo Kalliola, Ian Oliver, Silke Holtmanns, Amaury Lendasse:
Anomaly-Based Intrusion Detection Using Extreme Learning Machine and Aggregation of Network Traffic Statistics in Probability Space. Cogn. Comput. 10(5): 848-863 (2018) - [c2]Buse Gul Atli, Yoan Miche, Alexander Jung:
Network Intrusion Detection Using Flow Statistics. SSP 2018: 70-74 - [c1]Mehrnoosh Monshizadeh, Vikramajeet Khatri, Buse Gul Atli, Raimo Kantola:
An Intelligent Defense and Filtration Platform for Network Traffic. WWIC 2018: 107-118 - [i2]Buse Gul Atli, Alexander Jung:
Online Feature Ranking for Intrusion Detection Systems. CoRR abs/1803.00530 (2018) - [i1]Kai Puolamäki, Emilia Oikarinen, Buse Gul Atli, Andreas Henelius:
Human-guided data exploration using randomisation. CoRR abs/1805.07725 (2018)
Coauthor Index
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