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A Guest Seminar on Trustworthy Deep Learning: Adversarial Robustness & Out-of-Distribution Detection – Prof. Jie Yang, Shanghai Jiao Tong University

We are delighted to invite students, researchers, and AI practitioners to an exciting research seminar by Prof. Dr. Jie Yang, Professor and Director of the Institute of Image Processing and Pattern Recognition at Shanghai Jiao Tong University.

Researches on the Defenses and Out-of-Distribution Detection in Trustworthy Deep Learning
📅 July 20, 2026
🕚 11:00 AM – 12:00 PM
📍 Bit Alliance Lab (3-46), 3rd Floor, Faculty of Electrical Engineering University of Sarajevo
💻 Online participation via Zoom is also available

In this seminar, Prof. Yang will present state-of-the-art research on:
✅ Adversarial robustness and certified defenses against malicious inputs
✅ Out-of-Distribution (OoD) detection for trustworthy AI
✅ Multi-head neural network architectures for efficient robustness
✅ Novel model ensemble strategies
✅ Gradient-based dimensionality reduction for improved OoD detection

Prof. Yang is an internationally recognized researcher whose work has been published in leading venues including TPAMI, IJCV, Pattern Recognition, and NeurIPS, and has led more than 30 national research projects in artificial intelligence, image processing, and pattern recognition.
Google Scholar profile: https://lnkd.in/dHXQERPk

Participation is free, but registration is required.
👉 Registration link: https://lnkd.in/d3KPXbYV

We look forward to welcoming you!

Prof_YANG_seminar

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