Adversarial Attacks & Explainable AI — BDAIO Session

Guest session for BDAIO candidates — adversarial attacks on ML models and explainable AI (XAI).

Instructor: Istiaq Ahmed Fahad

Term: June 2025

Location: Institute of Information Technology (IIT), University of Dhaka

Session Overview

A guest session for BDAIO candidates covering two complementary topics in trustworthy AI: adversarial attacks — how small, crafted perturbations can fool ML models — and explainable AI (XAI) — how to interpret and communicate model decisions.

Audience

  • BDAIO candidates; no prior background in adversarial ML or XAI required.

Schedule

Topic Materials
Part 1 — Adversarial Attacks

Adversarial attacks on machine learning models — attack types, examples and implications for trustworthy AI.

Part 2 — Explainable AI

Explainable AI (XAI) — interpreting model decisions and building trust for BDAIO candidates.