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Go to the profile of ActiveFence
ActiveFence in Engineering @ ActiveFence

From zero to data lake: our journey to handling data at scale

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Go to the profile of Matar Haller
Matar Haller in Engineering @ ActiveFence

Building a Safer LLM: Embracing Safety by Design for Responsible AI

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Go to the profile of Nurit Cohen Inger
Nurit Cohen Inger in Engineering @ ActiveFence

Why We Need AI to Fight AI

The Wild, Wild Web

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Go to the profile of Noam Levy
Noam Levy in Engineering @ ActiveFence

Maximizing Cloud ROI with FinOps: A Practical Guide

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Go to the profile of Ziv Kalderon
Ziv Kalderon in Engineering @ ActiveFence

How Fingerprints Fight Online Evil

Malicious content is readily shared on social media platforms…

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Go to the profile of Ziv Kalderon
Ziv Kalderon in Engineering @ ActiveFence

Shifting Left: when and how to conduct performance tests?

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Go to the profile of Iyarzaks
Iyarzaks in Engineering @ ActiveFence

How did we get to a deep-learning model for symbol recognition with a small amount of labeled data?

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Go to the profile of maya raifer
maya raifer in Engineering @ ActiveFence

Racism, Hate, and Weddings- 3 Ways to Avoid Biased Data

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Go to the profile of Iddo Aviram
Iddo Aviram in Engineering @ ActiveFence

Why is it difficult to receive feedback (even for AI)

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Go to the profile of ActiveFence
ActiveFence in Engineering @ ActiveFence

Contextual A.I. for Adapting to Adversaries, with Matar Haller

Matar Haller speaks to Jon Krohn about the challenges of identifying, analyzing, and flagging malicious information online. In this episode, Matar explains how contextual AI and a “database of evil” can help resolve the…

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Engineering @ ActiveFence
Engineering @ ActiveFence
ActiveFence is driven by a clear mission, making the internet safer.
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