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Stewart Cairns AHEU 24 Testimonial

Very well organized, excellent forum for connecting with key industry stakeholders, and for developing a better understanding of emerging technologies, key trends impacting animal health. 

Bruce Truman AHEU 24 Testimonial

Yet another great AHNTI event. I was able to meet with industry leaders and innovative startups that I would not have been able to meet with if it had not been for AHNTI. See you next year.

Linda Rhodes AHEU 24 Testimonial

The two day are packed with relevant and thoughtful content and the event is attended by the most important people and organizations in animal health. Every year I meet great people and learn something new.

Bob Ferguson AHEU 24 Testimonial

AHNTI Europe 2024 was exceptional. It is a great platform for discussing many aspects related to Animal Health and the wider veterinary world whilst offering the perfect opportunity to network with existing or prospective BD partners

Erika Barreto AHEU 24 Testimonial

The event was well-organized, and participating in it was beneficial for my startup. It was a good opportunity to meet industry leaders who took the time to listen to new ideas and solutions. The number of attendees was just right for making useful connections.

Next Generation AI Village

The rise of prolific data breaches, coupled with the maturation of robust regulatory legislation, has led to a challenging landscape for businesses and institutions to pool their collective knowledge in a secure, legal fashion. With Vaultree Encrypted Data Sharing (VEDS) we are addressing this gap head on: VEDS allows data to be encrypted under multiple public keys owned by different parties, enabling them to perform collaborative computations and data analysis on the encrypted data while maintaining privacy and confidentiality.

Moreover, with our competitive speeds we can support state-of-the art AI insights, such as facial recognition, natural language processing using transformers and more. In this presentation we will introduce our proprietary FHE technology and the enrichment that VEDS provides, then demonstrate its application with a variety of ML driven use cases: With VEDS, the healthcare industry can securely collaborate on new medical discoveries, competing financial institutions can collectively tackle fraud, and advocacy groups can partner with law enforcement agencies to combat child abuse while respecting victims’ privacy.

Author:

Dr. Cathal Smyth

Lead Data Scientist
Vaultree

Dr. Cathal Smyth is Lead Data Scientist at Vaultree. His expertise lies at the intersection of Cybersecurity and Machine Learning, and focuses on the development of prototype ML solutions at Vaultree. Prior to joining Vaultree, Cathal worked at Shopify and Royal Bank of Canada, where he led teams in developing ML driven solutions to address fraud and cyber risks. Cathal has a PhD in Quantum Information from the University of Toronto.

Dr. Cathal Smyth

Lead Data Scientist
Vaultree

Dr. Cathal Smyth is Lead Data Scientist at Vaultree. His expertise lies at the intersection of Cybersecurity and Machine Learning, and focuses on the development of prototype ML solutions at Vaultree. Prior to joining Vaultree, Cathal worked at Shopify and Royal Bank of Canada, where he led teams in developing ML driven solutions to address fraud and cyber risks. Cathal has a PhD in Quantum Information from the University of Toronto.

Author:

Anil Kumar Pradhan

Head of Cryptography Research
Vaultree

Anil Kumar Pradhan is Head of Cryptography Research at Vaultree. His expertise lies in various areas of cryptography and cybersecurity including Fully Homomorphic Encryption, Post-Quantum Cryptography, Zero-Knowledge Proof & Blockchain. Prior to joining Vaultree, Anil had worked with multiple early stage startups to design novel cybersecurity solutions.

Anil Kumar Pradhan

Head of Cryptography Research
Vaultree

Anil Kumar Pradhan is Head of Cryptography Research at Vaultree. His expertise lies in various areas of cryptography and cybersecurity including Fully Homomorphic Encryption, Post-Quantum Cryptography, Zero-Knowledge Proof & Blockchain. Prior to joining Vaultree, Anil had worked with multiple early stage startups to design novel cybersecurity solutions.

Our presentation delves into the innovative integration of Differential Privacy (DP) and Secure Multiparty Computation (MPC) to develop advanced PETs for ad measurement. Our technology tackles the critical challenges of preserving user privacy in advertising by preventing advertisers and publishers from tracking users' activities across platforms. This approach not only safeguards user privacy but also enables valuable ad measurement insights, benefiting both advertisers and publishers.

Author:

Jian Du

Research Scientist
TikTok

Jian Du is a research scientist at TikTok, leading the research and development efforts focused on integrating privacy-enhancing technologies into TikTok's products. For instance, Jian leads the development of PrivacyGo, an open-source project available on GitHub. Privacy Go aims to synergistically fuse PETs to address real-world privacy challenges, such as combining secure multi-party computation and differential privacy to enable privacy-preserving ad measurement and optimization of ad models, as well as privacy-preserving large language models. Prior to joining TikTok, Jian worked on PETs at Ant Financial and held a postdoctoral research position at Carnegie Mellon University.

Jian Du

Research Scientist
TikTok

Jian Du is a research scientist at TikTok, leading the research and development efforts focused on integrating privacy-enhancing technologies into TikTok's products. For instance, Jian leads the development of PrivacyGo, an open-source project available on GitHub. Privacy Go aims to synergistically fuse PETs to address real-world privacy challenges, such as combining secure multi-party computation and differential privacy to enable privacy-preserving ad measurement and optimization of ad models, as well as privacy-preserving large language models. Prior to joining TikTok, Jian worked on PETs at Ant Financial and held a postdoctoral research position at Carnegie Mellon University.

 

Anil Kumar Pradhan

Head of Cryptography Research
Vaultree

Anil Kumar Pradhan is Head of Cryptography Research at Vaultree. His expertise lies in various areas of cryptography and cybersecurity including Fully Homomorphic Encryption, Post-Quantum Cryptography, Zero-Knowledge Proof & Blockchain. Prior to joining Vaultree, Anil had worked with multiple early stage startups to design novel cybersecurity solutions.

Anil Kumar Pradhan

Head of Cryptography Research
Vaultree

Anil Kumar Pradhan

Head of Cryptography Research
Vaultree

Anil Kumar Pradhan is Head of Cryptography Research at Vaultree. His expertise lies in various areas of cryptography and cybersecurity including Fully Homomorphic Encryption, Post-Quantum Cryptography, Zero-Knowledge Proof & Blockchain. Prior to joining Vaultree, Anil had worked with multiple early stage startups to design novel cybersecurity solutions.