Adversarial Attacks and Defenses in Deep Learning Systems: Threats, Mechanisms, and Countermeasures

Hello y'all, I'm back again in 2026🔥🔥 Last Wednesday I just had the opportunity to join in the special talk about Deep Learning Security with Anadi Goyal who's the talented research assistant from IT Guwahati under the topic: "Adversarial Attacks and Defenses in Deep Learning Systems: Threats, Mechanisms, and Countermeasures" In this special talk, he mainly focused about the potential threat or vulnerability and mechanisms that the attackers could use to attack the machine learning model in deep learning systems. At the same time, we also learned how to defend against these attacks and explored various countermeasures we could use to handle such potential threats. This topic is especially interesting and important in the AI era where the machine learning model is becoming the prime targets for the attackers to tamper with them.. Ok...technically, for this post session, we will learn about how to be both attacker (mechanism for attacking the ML model) and learn to be the defender (cou