Description
The discipline of digital forensics, or as it was then known ‘forensic computing’, began with a focus on retrieving admissible evidence from computer systems (typically personal computers). However, with the increased pervasiveness of connected digital technologies in the last 20 years, a wide variety of new and complex sources of digital evidence have emerged. This has presented a range of opportunities and challenges for forensic practitioners.In this presentation, I will discuss a selection of digital forensics research that I have conducted, with my colleagues and collaborators, in areas such as cloud forensics, mobile forensics and Internet of Things (IoT) forensics. We will look at the challenges of identifying, preserving, collecting and analysing evidence from these platforms, along with proposed solutions, and discuss the applicability of these techniques to the challenges of the next decade.
Next sessions
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Opening Pandora's Box: White-Box Attacks on Microsoft's PhotoDNA Perceptual Hash Function
Speaker : Diane Leblanc-Albarel - KU Leuven
PhotoDNA is a widely deployed perceptual hash function used for the detection of illicit content such as Child Sexual Abuse Material (CSAM). In this talk, I will present our paper introducing the first mathematical description of Alleged PhotoDNA, a function that reproduces the outputs of PhotoDNA. Our analysis reveals several structural weaknesses: the function is piece-wise linear and[…]-
Cryptography
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Privacy
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Towards More Secure Large Language Models
Speaker : Raouf Kerkouche - Inria Lille
Large Language Models (LLMs) have achieved considerable success and are now widely used across multiple domains, highlighting their transformative impact on both technology and society. However, this widespread adoption also exposes LLMs to numerous security threats that can alter model behavior or degrade overall performance. To mitigate these threats, most research has focused on alignment[…]-
Machine learning
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