AI & Data

Training: Protecting Machine Learning Models Against Attacks

An advanced, hands-on course dedicated to key aspects of machine learning model security.

Duration
6h
Ask about the program → See all
Who it's for

Ideal for teams that…

1 AI engineers and data scientists
2 ML solution architects
3 Professionals responsible for deploying AI solutions in organizations
4 Cybersecurity specialists
5 Developers working on advanced ML models
Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

✓

Identification of advanced attack vectors targeting ML models

✓

Methods to prevent manipulation of training data

✓

Practical techniques for securing training and inference processes

✓

Tools and strategies for protecting sensitive models against cyber threats

Program · 6 modules

What we actually do

M01
Module 1: Introduction to ML ecosystem threats
  • · Characteristics of modern AI model attacks
  • · Consequences of successful breaches
  • · Case studies of intrusions and manipulations in real-world projects
M02
Module 2: Types of attacks on ML models
  • · Adversarial attacks: methods of generating adversarial samples
  • · Attacks on training data privacy
  • · Information leakage from trained models
  • · Vulnerability analysis of different ML architectures
  • · Attacks targeting ML infrastructure
M03
Module 3: Workshop – Threat identification
  • · Simulating attacks on sample classification and regression models
  • · Analyzing traces and penetration mechanisms of ML models
M04
Module 4: Methods for securing ML models
  • · Adversarial training techniques
  • · Federated learning for enhanced privacy
  • · Implementing obfuscation and data privacy mechanisms
  • · Strategies for risk reduction in ML workflows
M05
Module 5: Workshop – Practical model protection
  • · Designing resilient ML architectures
  • · Implementing advanced defense techniques
  • · Security testing of ML models
  • · Developing security policies for ML teams
M06
Module 6: Security tools and frameworks
  • · Overview of open-source tools for model protection
  • · Analysis of specialized ML cybersecurity libraries
  • · Automating security verification processes
  • · Integrating security tools with ML pipelines
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief
✓First session within 30 days
✓Pilot before the full decision
✓VAT invoice, payment in instalments possible

Ochrona antyspamowa (Cloudflare Turnstile) zostanie aktywowana po wpięciu klucza.

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