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Synthetic Data, Hashing, Enterprise Data Leakage, and the Reality of Privacy Risks: What to Know

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Manage episode 431299434 series 3474671
Contenuto fornito da HackerNoon. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da HackerNoon o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/synthetic-data-hashing-enterprise-data-leakage-and-the-reality-of-privacy-risks-what-to-know.
The rise of large language models (LLMs) and generative AI creates opportunities for massive data leakage.
Check more stories related to cybersecurity at: https://hackernoon.com/c/cybersecurity. You can also check exclusive content about #privacy, #synthetic-data, #differential-privacy, #hashing, #enterprise-data, #privacy-risks, #what-is-synthetic-data, #generative-ai-risks, and more.
This story was written by: @yaw.etse. Learn more about this writer by checking @yaw.etse's about page, and for more stories, please visit hackernoon.com.
The rise of large language models (LLMs) and generative AI creates opportunities for massive data leakage. Synthetic data is often considered the convenient solution to the data privacy challenges associated with LLM training and fine-tuning. Despite the enthusiasm, it’s critical to recognize that synthetic data is not inherently anonymous.

  continue reading

204 episodi

Artwork
iconCondividi
 
Manage episode 431299434 series 3474671
Contenuto fornito da HackerNoon. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da HackerNoon o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/synthetic-data-hashing-enterprise-data-leakage-and-the-reality-of-privacy-risks-what-to-know.
The rise of large language models (LLMs) and generative AI creates opportunities for massive data leakage.
Check more stories related to cybersecurity at: https://hackernoon.com/c/cybersecurity. You can also check exclusive content about #privacy, #synthetic-data, #differential-privacy, #hashing, #enterprise-data, #privacy-risks, #what-is-synthetic-data, #generative-ai-risks, and more.
This story was written by: @yaw.etse. Learn more about this writer by checking @yaw.etse's about page, and for more stories, please visit hackernoon.com.
The rise of large language models (LLMs) and generative AI creates opportunities for massive data leakage. Synthetic data is often considered the convenient solution to the data privacy challenges associated with LLM training and fine-tuning. Despite the enthusiasm, it’s critical to recognize that synthetic data is not inherently anonymous.

  continue reading

204 episodi

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