Enes Altinisik

According to our database, Enes Altinisik authored at least 18 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Tool Calling for Arabic LLMs: Data Strategies and Instruction Tuning.

Asim Ersoy, Enes Altinisik, Husrev Taha Sencar, Kareem Darwish

CoRR, September, 2025

SGM: A Framework for Building Specification-Guided Moderation Filters.

Masoomali Fatehkia, Enes Altinisik, Husrev Taha Sencar

CoRR, May, 2025

Fanar: An Arabic-Centric Multimodal Generative AI Platform.

Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, Enes Altinisik, Ehsannedin Asgari, Yazan Boshmaf, Sabri Boughorbel, Sanjay Chawla, Shammur A. Chowdhury, Fahim Dalvi, Kareem Darwish, Nadir Durrani, Mohamed Elfeky, Ahmed K. Elmagarmid, Mohamed Y. Eltabakh, Masoomali Fatehkia, Anastasios Fragkopoulos, Maram Hasanain, Majd Hawasly, Mus'ab Husaini, Soon-Gyo Jung, Ji Kim Lucas, Walid Magdy, Safa Messaoud, Abubakr Mohamed, Tasnim Mohiuddin, Basel Mousi, Hamdy Mubarak, Ahmad Musleh, Zan Naeem, Mourad Ouzzani, Dorde Popovic, Amin Sadeghi, Husrev Taha Sencar, Mohammed Shinoy, Omar Sinan, Yifan Zhang, Ahmed Ali, Yassine El Kheir, Xiaosong Ma, Chaoyi Ruan

CoRR, January, 2025

2024

Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training.

Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Hassan Sajjad, Sanjay Chawla

CoRR, 2024

2023

A3T: accuracy aware adversarial training.

Enes Altinisik, Safa Messaoud, Husrev Taha Sencar, Sanjay Chawla

Mach. Learn., September, 2023

ProvG-Searcher: A Graph Representation Learning Approach for Efficient Provenance Graph Search.

Enes Altinisik, Fatih Deniz, Hüsrev Taha Sencar

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Impact of Adversarial Training on Robustness and Generalizability of Language Models.

Enes Altinisik, Hassan Sajjad, Husrev T. Sencar, Safa Messaoud, Sanjay Chawla

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Video Source Characterization Using Encoding and Encapsulation Characteristics.

Enes Altinisik, Hüsrev Taha Sencar, Diram Tabaa

IEEE Trans. Inf. Forensics Secur., 2022

Exploration of Enterprise Server Data to Assess Ease of Modeling System Behavior.

Enes Altinisik, Husrev Taha Sencar, Mohamed Nabeel, Issa Khalil, Ting Yu

CoRR, 2022

Camera Model Identification Using Container and Encoding Characteristics of Video Files.

Enes Altinisik, Husrev Taha Sencar

CoRR, 2022

2021

Automatic Generation of H.264 Parameter Sets to Recover Video File Fragments.

Enes Altinisik, Hüsrev T. Sencar

IEEE Trans. Inf. Forensics Secur., 2021

Source Camera Verification for Strongly Stabilized Videos.

Enes Altinisik, Husrev Taha Sencar

IEEE Trans. Inf. Forensics Secur., 2021

CADUE: Content-Agnostic Detection of Unwanted Emails for Enterprise Security.

Mohamed Nabeel, Enes Altinisik, Haipei Sun, Issa Khalil, Wendy Hui Wang, Ting Yu

Proceedings of the RAID '21: 24th International Symposium on Research in Attacks, 2021

PRNU Estimation from Encoded Videos Using Block-Based Weighting.

Enes Altinisik, Kasim Tasdemir, Hüsrev Taha Sencar

Proceedings of the Media Watermarking, 2021

2020

Mitigation of H.264 and H.265 Video Compression for Reliable PRNU Estimation.

Enes Altinisik, Kasim Tasdemir, Husrev Taha Sencar

IEEE Trans. Inf. Forensics Secur., 2020

2019

Source Camera Attribution from Strongly Stabilized Videos.

Enes Altinisik, Husrev Taha Sencar

CoRR, 2019

Tackling In-Camera Downsizing for Reliable Camera ID Verification.

Sinan E. Tandogan, Enes Altinisik, Salim Sarimurat, Hüsrev T. Sencar

Proceedings of the Media Watermarking, 2019

2018

Extracting Prnu Noise from H.264 Coded Videos.

Enes Altinisik, Kasim Tasdemir, Husrev Taha Sencar

Proceedings of the 26th European Signal Processing Conference, 2018