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İçerik Forensic Focus, Forensic Focus: Digital Forensics, Incident Response, and DFIR tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Forensic Focus, Forensic Focus: Digital Forensics, Incident Response, and DFIR veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.
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Digital Image Authenticity And Integrity With Amped Authenticate

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İçerik Forensic Focus, Forensic Focus: Digital Forensics, Incident Response, and DFIR tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Forensic Focus, Forensic Focus: Digital Forensics, Incident Response, and DFIR veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

In this episode of the Forensic Focus podcast, Si and Desi are joined by Marco Fontani from Amped Software. Together, they delve into the world of digital image forensics and discuss the use of Amped Authenticate.

Amped Authenticate can be used to uncover the processing history of a digital image, helping to determine whether it can be used as reliable evidence in a court of law. Today’s episode looks at the challenges involved in analysing pictures downloaded from the web or social media platforms, the impact of AI-based processing during capture on modern smartphones, and Authenticate's ability to assist with triage, allowing investigators to quickly filter through large amounts of data to find relevant evidence.

Show Notes:

Amped Authenticate (Amped Software) - https://ampedsoftware.com/authenticate

Samsung’s Moon Shots Force Us to Ask How Much AI Is Too Much (WIRED) - https://www.wired.co.uk/article/samsu...

A Leak in PRNU Based Source Identification—Questioning Fingerprint Uniqueness (IEEE Xplore) - https://ieeexplore.ieee.org/abstract/...

Is PRNU Camera Identification Still Reliable? Tests on Modern Smartphones Show We May Need a New Strategy! (Amped Software) - https://blog.ampedsoftware.com/2020/0...

Dealing with Deepfakes (Amped Software) - https://blog.ampedsoftware.com/2021/0...

NVIDIA Broadcast 1.4 Adds Eye Contact and Vignette Effects With Virtual Background Enhancements (GeForce) - https://www.nvidia.com/en-us/geforce/...

The Face Deepfake Detection Challenge (MDPI) - https://www.mdpi.com/2313-433X/8/10/263

  continue reading

85 bölüm

Artwork
iconPaylaş
 
Manage episode 360973251 series 2568929
İçerik Forensic Focus, Forensic Focus: Digital Forensics, Incident Response, and DFIR tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Forensic Focus, Forensic Focus: Digital Forensics, Incident Response, and DFIR veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

In this episode of the Forensic Focus podcast, Si and Desi are joined by Marco Fontani from Amped Software. Together, they delve into the world of digital image forensics and discuss the use of Amped Authenticate.

Amped Authenticate can be used to uncover the processing history of a digital image, helping to determine whether it can be used as reliable evidence in a court of law. Today’s episode looks at the challenges involved in analysing pictures downloaded from the web or social media platforms, the impact of AI-based processing during capture on modern smartphones, and Authenticate's ability to assist with triage, allowing investigators to quickly filter through large amounts of data to find relevant evidence.

Show Notes:

Amped Authenticate (Amped Software) - https://ampedsoftware.com/authenticate

Samsung’s Moon Shots Force Us to Ask How Much AI Is Too Much (WIRED) - https://www.wired.co.uk/article/samsu...

A Leak in PRNU Based Source Identification—Questioning Fingerprint Uniqueness (IEEE Xplore) - https://ieeexplore.ieee.org/abstract/...

Is PRNU Camera Identification Still Reliable? Tests on Modern Smartphones Show We May Need a New Strategy! (Amped Software) - https://blog.ampedsoftware.com/2020/0...

Dealing with Deepfakes (Amped Software) - https://blog.ampedsoftware.com/2021/0...

NVIDIA Broadcast 1.4 Adds Eye Contact and Vignette Effects With Virtual Background Enhancements (GeForce) - https://www.nvidia.com/en-us/geforce/...

The Face Deepfake Detection Challenge (MDPI) - https://www.mdpi.com/2313-433X/8/10/263

  continue reading

85 bölüm

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