| Dawn: Dynamic adversarial watermarking of neural networks S Szyller, BG Atli, S Marchal, N Asokan Proceedings of the 29th ACM International Conference on Multimedia, 4417-4425, 2021 | 152 | 2021 |
| Anomaly-based intrusion detection using extreme learning machine and aggregation of network traffic statistics in probability space BG Atli, Y Miche, A Kalliola, I Oliver, S Holtmanns, A Lendasse Cognitive Computation 10 (5), 848-863, 2018 | 55 | 2018 |
| Waffle: Watermarking in federated learning BGA Tekgul, Y Xia, S Marchal, N Asokan 2021 40th International Symposium on Reliable Distributed Systems (SRDS …, 2021 | 54* | 2021 |
| Extraction of complex dnn models: Real threat or boogeyman? BG Atli, S Szyller, M Juuti, S Marchal, N Asokan Engineering Dependable and Secure Machine Learning Systems: Third …, 2020 | 42 | 2020 |
| Performance evaluation of a combined anomaly detection platform M Monshizadeh, V Khatri, BG Atli, R Kantola, Z Yan IEEE Access 7, 100964-100978, 2019 | 31 | 2019 |
| Anomaly-based intrusion detection by modeling probability distributions of flow characteristics B Atli | 23 | 2017 |
| Real-time adversarial perturbations against deep reinforcement learning policies: attacks and defenses BGA Tekgul, S Wang, S Marchal, N Asokan European Symposium on Research in Computer Security, 384-404, 2022 | 15* | 2022 |
| On the effectiveness of dataset watermarking BG Atli Tekgul, N Asokan Proceedings of the 2022 ACM on International Workshop on Security and …, 2022 | 10* | 2022 |
| Making targeted black-box evasion attacks effective and efficient M Juuti, B Gul Atli, N Asokan Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security …, 2019 | 9 | 2019 |
| Network intrusion detection using flow statistics BG Atli, Y Miche, A Jung 2018 IEEE Statistical Signal Processing Workshop (SSP), 70-74, 2018 | 9 | 2018 |
| Learning flow characteristics distributions with elm for distributed denial of service detection and mitigation A Kalliola, Y Miche, I Oliver, S Holtmanns, B Atli, A Lendasse, KM Bjork, ... Proceedings of ELM-2016, 129-143, 2018 | 8 | 2018 |
| An intelligent defense and filtration platform for network traffic M Monshizadeh, V Khatri, B Atli, R Kantola International Conference on Wired/Wireless Internet Communication, 107-118, 2018 | 5 | 2018 |
| Online feature ranking for intrusion detection systems BG Atli, A Jung arXiv preprint arXiv:1803.00530, 2018 | 4 | 2018 |
| Human-guided data exploration using randomisation K Puolamäki, E Oikarinen, B Atli, A Henelius arXiv preprint arXiv:1805.07725, 2018 | 2 | 2018 |
| FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks BG A. Tekgul, N Asokan Proceedings of the 39th Annual Computer Security Applications Conference …, 2023 | | 2023 |
| Securing Machine Learning: Streamlining Attacks and Defenses Under Realistic Adversary Models BG Atli Tekgül Aalto University, 2022 | | 2022 |
| An Intelligent Defense and Filtration Platform for Network Traffic M Monshizadeh, V Khatri, B Atli, R Kantola | | |
Vikramajeet KhatriNokia Bell Labs, FinlandVerified email at nokia-bell-labs.com
