Source Camera Verification from Strongly Stabilized Videos E Altinisik, H Taha Sencar IEEE Transactions on Information Forensics and Security, 1-15, 2020 | 28 | 2020 |
Extracting PRNU noise from H. 264 coded videos E Altinisik, K Tasdemir, HT Sencar 2018 26th European signal processing conference (EUSIPCO), 1367-1371, 2018 | 21 | 2018 |
Mitigation of H. 264 and H. 265 video compression for reliable PRNU estimation E Altinisik, K Tasdemir, HT Sencar IEEE Transactions on information forensics and security 15, 1557-1571, 2019 | 20 | 2019 |
Video Source Characterization Using Encoding and Encapsulation Characteristics E Altinisik, HT Sencar, D Tabaa IEEE Transactions on Information Forensics and Security 17, 3211 - 3224, 2022 | 10* | 2022 |
Impact of adversarial training on robustness and generalizability of language models E Altinisik, H Sajjad, HT Sencar, S Messaoud, S Chawla Findings of the Association for Computational Linguistics: ACL 2023,, 7828–7840, 2023 | 8 | 2023 |
Tackling in-camera downsizing for reliable camera ID verification SE Tandoğan, E Altınışık, S Sarimurat, HT Sencar Electronic Imaging 31, 1-7, 2019 | 8 | 2019 |
CADUE: Content-agnostic detection of unwanted Emails for enterprise security M Nabeel, E Altinisik, H Sun, I Khalil, H Wang, T Yu Proceedings of the 24th International Symposium on Research in Attacks …, 2021 | 6 | 2021 |
A3T: accuracy aware adversarial training E Altinisik, S Messaoud, HT Sencar, S Chawla Mach Learn (2023), 2023 | 3 | 2023 |
Automatic Generation of H. 264 Parameter Sets to Recover Video File Fragments E Altinisik, HT Sencar IEEE Transactions on Information Forensics and Security 16, 4857 - 4868, 2021 | 3 | 2021 |
PRNU Estimation from Encoded Videos Using Block-Based Weighting E Altinisi, K Tasdemir, HT Sencar EI2021 Media Watermarking, Security, and Forensics 2021 (MWSF), 2021 | 2 | 2021 |
ProvG-Searcher: A Graph Representation Learning Approach for Efficient Provenance Graph Search E Altinisik, F Deniz, HT Sencar Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | 1 | 2023 |
SMAAT: Scalable Manifold-Aware Adversarial Training for Large Language Models E Altinisik, S Messaoud, HT Sencar, H Sajjad, S Chawla | | 2023 |
Automatic generation of h. 264 parameter sets to recover video file fragments HT Sencar, E Altinisik US Patent App. 18/131,002, 2023 | | 2023 |
Exploration of Enterprise Server Data to Assess Ease of Modeling System Behavior E Altinisik, HT Sencar, M Nabeel, I Khalil, T Yu arXiv preprint arXiv:2206.05679, 2022 | | 2022 |