activity
20182021
most citedNeural Imaging Pipelines - the Scourge or Hope of Forensics?

1 citations · 1 across the 1 of their papers we have counts for

collaborators

6 papers

cs.CV2021

Hard-Attention for Scalable Image Classification

Athanasios Papadopoulos, Paweł Korus, Nasir Memon

Can we leverage high-resolution information without the unsustainable quadratic complexity to input scale? We propose Traversal Network (TNet), a novel multi-scale hard-attention a…

eess.IV2020

Empirical Evaluation of PRNU Fingerprint Variation for Mismatched Imaging Pipelines

Sharad Joshi, Pawel Korus, Nitin Khanna +1

We assess the variability of PRNU-based camera fingerprints with mismatched imaging pipelines (e.g., different camera ISP or digital darkroom software). We show that camera fingerp…

cs.CR2019

FiFTy: Large-scale File Fragment Type Identification using Neural Networks

Govind Mittal, Pawel Korus, Nasir Memon

We present FiFTy, a modern file type identification tool for memory forensics and data carving. In contrast to previous approaches based on hand-crafted features, we design a compa…

cs.CV20191 cited

Neural Imaging Pipelines - the Scourge or Hope of Forensics?

Pawel Korus, Nasir Memon

Forensic analysis of digital photographs relies on intrinsic statistical traces introduced at the time of their acquisition or subsequent editing. Such traces are often removed by…

cs.CV2018

Content Authentication for Neural Imaging Pipelines: End-to-end Optimization of Photo Provenance in Complex Distribution Channels

Pawel Korus, Nasir Memon

Forensic analysis of digital photo provenance relies on intrinsic traces left in the photograph at the time of its acquisition. Such analysis becomes unreliable after heavy post-pr…

cs.MM2018

Large-Scale and Fine-Grained Evaluation of Popular JPEG Forgery Localization Schemes

Pawel Korus

Over the years, researchers have proposed various approaches to JPEG forgery detection and localization. In most cases, experimental evaluation was limited to JPEG quality levels t…