Enes Altinisik

Orcid: 0000-0001-9300-6564

According to our database1, Enes Altinisik authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training.
CoRR, 2024

2023
A3T: accuracy aware adversarial training.
Mach. Learn., September, 2023

ProvG-Searcher: A Graph Representation Learning Approach for Efficient Provenance Graph Search.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Impact of Adversarial Training on Robustness and Generalizability of Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Video Source Characterization Using Encoding and Encapsulation Characteristics.
IEEE Trans. Inf. Forensics Secur., 2022

Exploration of Enterprise Server Data to Assess Ease of Modeling System Behavior.
CoRR, 2022

Camera Model Identification Using Container and Encoding Characteristics of Video Files.
CoRR, 2022

2021
Automatic Generation of H.264 Parameter Sets to Recover Video File Fragments.
IEEE Trans. Inf. Forensics Secur., 2021

Source Camera Verification for Strongly Stabilized Videos.
IEEE Trans. Inf. Forensics Secur., 2021

CADUE: Content-Agnostic Detection of Unwanted Emails for Enterprise Security.
Proceedings of the RAID '21: 24th International Symposium on Research in Attacks, 2021

PRNU Estimation from Encoded Videos Using Block-Based Weighting.
Proceedings of the Media Watermarking, 2021

2020
Mitigation of H.264 and H.265 Video Compression for Reliable PRNU Estimation.
IEEE Trans. Inf. Forensics Secur., 2020

2019
Source Camera Attribution from Strongly Stabilized Videos.
CoRR, 2019

Tackling In-Camera Downsizing for Reliable Camera ID Verification.
Proceedings of the Media Watermarking, 2019

2018
Extracting Prnu Noise from H.264 Coded Videos.
Proceedings of the 26th European Signal Processing Conference, 2018


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