Balázs Kiss

A hundred ways to wreck your AI - the (in)security of machine learning systems

Loading a pre-trained model can lead to remote code execution. Learn how the `pickle` format creates a massive security hole in your AI supply chain.

A hundred ways to wreck your AI - the (in)security of machine learning systems
#1about 4 minutes

The security risks of AI-generated code

AI systems can generate code quickly but may introduce vulnerabilities or rely on outdated practices, highlighting that all AI systems are fundamentally code and can be exploited.

#2about 5 minutes

Fundamental AI vulnerabilities and malicious misuse

AI systems are prone to classic failures like overfitting and can be maliciously manipulated through deepfakes, chatbot poisoning, and adversarial patterns.

#3about 1 minute

Exploring threat modeling frameworks for AI security

Several organizations like OWASP, NIST, and MITRE provide threat models and standards to help developers understand and mitigate AI security risks.

#4about 6 minutes

Deconstructing AI attacks from evasion to model stealing

Attack trees categorize novel threats like evasion with adversarial samples, data poisoning to create backdoors, and model stealing to replicate proprietary systems.

#5about 2 minutes

Demonstrating an adversarial attack on digit recognition

A live demonstration shows how pre-generated adversarial samples can trick a digit recognition model into misclassifying numbers as zero.

#6about 5 minutes

Analyzing supply chain and framework security risks

Security risks extend beyond the model to the supply chain, including backdoors in pre-trained models, insecure serialization formats like Pickle, and vulnerabilities in ML frameworks.

#7about 1 minute

Choosing secure alternatives to the Pickle model format

The HDF5 format is recommended as a safer, industry-standard alternative to Python's insecure Pickle format for serializing machine learning models.

Related jobs
Jobs that call for the skills explored in this talk.

Matching moments

How AI can create more human moments in HR
03:13 MIN

How AI can create more human moments in HR

The Future of HR Lies in AND – Not in OR

The security risks of AI-generated code and slopsquatting
05:55 MIN

The security risks of AI-generated code and slopsquatting

Slopquatting, API Keys, Fun with Fonts, Recruiters vs AI and more - The Best of LIVE 2025 - Part 2

Shifting from talent acquisition to talent architecture
03:28 MIN

Shifting from talent acquisition to talent architecture

The Future of HR Lies in AND – Not in OR

Balancing business, technology, and people for holistic success
06:51 MIN

Balancing business, technology, and people for holistic success

The Future of HR Lies in AND – Not in OR

The importance of a fighting spirit to avoid complacency
06:04 MIN

The importance of a fighting spirit to avoid complacency

The Future of HR Lies in AND – Not in OR

Navigating ambiguity as a core HR competency
04:22 MIN

Navigating ambiguity as a core HR competency

The Future of HR Lies in AND – Not in OR

How the HR function has evolved over three decades
05:10 MIN

How the HR function has evolved over three decades

The Future of HR Lies in AND – Not in OR

Understanding global differences in work culture and motivation
06:10 MIN

Understanding global differences in work culture and motivation

The Future of HR Lies in AND – Not in OR

Featured Partners

Related Videos

See all videos
Hacking AI - how attackers impose their will on AI27:02

Hacking AI - how attackers impose their will on AI

Mirko Ross

Machine Learning: Promising, but Perilous27:19

Machine Learning: Promising, but Perilous

Nura Kawa

The AI Security Survival Guide: Practical Advice for Stressed-Out Developers30:36

The AI Security Survival Guide: Practical Advice for Stressed-Out Developers

Mackenzie Jackson

Skynet wants your Passwords! The Role of AI in Automating Social Engineering31:19

Skynet wants your Passwords! The Role of AI in Automating Social Engineering

Wolfgang Ettlinger & Alexander Hurbean

Beyond the Hype: Building Trustworthy and Reliable LLM Applications with Guardrails29:00

Beyond the Hype: Building Trustworthy and Reliable LLM Applications with Guardrails

Alex Soto

Staying Safe in the AI Future27:26

Staying Safe in the AI Future

Cassie Kozyrkov

Panel: How AI is changing the world of work41:06

Panel: How AI is changing the world of work

Pascal Reddig, TJ Griffiths, Fabian Schmidt, Oliver Winzenried & Matthias Niehoff & Mirko Ross

GenAI Security: Navigating the Unseen Iceberg24:33

GenAI Security: Navigating the Unseen Iceberg

Maish Saidel-Keesing

Related Articles

View all articles
DC
Daniel Cranney
Dev Digest 198: 30 years of JS, In-Browser AI, How Attackers Abuse GenAI
Inside last week’s Dev Digest 198 . 🎂 30 years of JavaScript ⏰ How long is a JavaScript second 💻 Clean code in Angular 🤦‍♂️ AI makes different mistakes than humans 👨‍💻 In-browser and offline AI 🟠 Undocumented Hacker News features 🐋 DeepSeek censored...
Dev Digest 198: 30 years of JS, In-Browser AI, How Attackers Abuse GenAI
CH
Chris Heilmann
Exploring AI: Opportunities and Risks for Developers
In today's rapidly evolving tech landscape, the integration of Artificial Intelligence (AI) in development presents both exciting opportunities and notable risks. This dynamic was the focus of a recent panel discussion featuring industry experts Kent...
Exploring AI: Opportunities and Risks for Developers

From learning to earning

Jobs that call for the skills explored in this talk.