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World Congress 2023 • Aug 11, 2023

Machine Learning: Promising, but Perilous

Nura Kawa

A simple sticker on a stop sign can completely blind your AI perception model. Uncover the hidden security perils of transfer learning and how to fortify your ML pipelines.

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Matching moments

1:20 min

Utilizing industry threat models for AI security

Balázs Kiss · World Congress 2023

2:29 min

Establishing core machine learning fundamentals and robust guardrails

Ekaterina Sirazitdinova · LIVE

2:02 min

Generating adversarial patterns and defending consumer machine learning models

Mirko Ross · World Congress 2023

1:31 min

Dual usage of machine learning in cybersecurity

Wolfgang Ettlinger +1 · World Congress 2023

2:31 min

Understanding data poisoning and model bias risks

Keno Dreßel Keno Dreßel · World Congress 2025

3:16 min

Unique privacy vulnerabilities in language model architectures

Aditi Godbole · LIVE

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Upcoming sessions on this topic

Open session

Beware of Strangers Bearing Code: Open Source Trust in the Agent Era

  • Vikram Vaswani

    Consultant

Open session

Teaching AI Coding Agents to Build It Right the First Time

  • Sajeetharan Sinnathurai

    Microsoft

    Principal Product Manager

Open session

Autopsy of an Autonomous Incident: When the Agent Made It Worse

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Build a Zero-Cost AI Agent in Your Browser

  • Aishwarya Mathuria

    Adobe

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  • Nishant Thakur

    Adobe

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From Prompt Engineering to Harness Engineering: Building Observable and Governed GenAI Systems

  • Lakshmi Devi Prakash

    JPMorgan Chase

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Architecting Trusted AI: Coupling Multi-Agent Systems with dbt Semantic Store for Zero-Hallucination

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