Differential Privacy in TensorFlow: Responsible AI

Join us to uncover how TensorFlow's integration of differential privacy techniques enhances data privacy, fostering ethical AI development and ensuring integrity in machine learning innovation.

May 4, 11:00 AM – 1:00 PM

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Key Themes

Explore MLML Study JamMachine LearningOpen SourceTensorFlow / Keras

About this event

[Differential Privacy in TensorFlow: Responsible AI]

Join us as we explore how differential privacy techniques within TensorFlow enhance data privacy, ensuring ethical AI development. Discover our commitment to safeguarding data integrity while advancing machine learning innovation responsibly. Together, let's shape the future of AI with integrity and accountability. 🛡️🤖


🎤 Featuring:

Aye Hninn Khine

Natural Language Processing, Ph.D.

Department of Computational Science, PSU, Thailand

GDE in Machine Learning

Women in AI


Don’t forget to mark your calendars!! 🗓

📅 Date: Saturday 4th May 2024

⌛️Time: 07:00 PM (MYT) | 06:00 PM (ICT)

🏛 Location: Google Meet

📌UTM Merit Will be provided

📌Open for both students and staff


🔗 RSVP Link:

https://gdsc.community.dev/e/mv2rwj/

WhatsApp Link:

https://chat.whatsapp.com/HMfAum8MS8cGKvWZ5vX2SE


Subscribe to our telegram channel for more updates:

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Google Developer Student Clubs

Universiti Teknologi Malaysia

#DifferentialPrivacy #ResponsibleAI #TensorFlow #AIethics #MachineLearning #DataPrivacy#GDSC #UTM

Speaker

  • Aye Hninn Khine

    NLP | PhD (CS) | Faculty of Science | PSU | Google Developer Expert (Machine Learning) | Women in AI

Partner

Universiti Teknologi Malaysia logo

Universiti Teknologi Malaysia

Organizers

  • Md. Samiul Bashar Apon

    Universiti Teknologi Malaysia

    GDSC Lead

  • W Nurnabihah

    GDSC Co-Lead

  • Ying Jie Low

    Universiti Teknologi Malaysia

    Secretary

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