多媒體資訊學習與安全
Multimedia Information Learning and Security
| 節 | 週三 |
|---|---|
5 13:20–14:10 | 多媒體資訊學習與安全 CM216（歸仁） 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
This course provides a comprehensive introduction to deep learning (DL) and its applications in multimedia security. The first part (Weeks 1-7) covers fundamental deep learning techniques, including image classification, detection, segmentation, restoration, and multi-dimensional image analysis. The second part (Weeks 8-15) explores security challenges in multimedia processing, such as Deepfake detection, adversarial attacks, multimedia forensics, and privacy-preserving AI techniques like federated learning. [Important] This is an implementation-heavy course. Each week includes hands-on assignments, requiring students to build and evaluate deep learning models. Students should anticipate significant computational workloads and plan their resources accordingly.
Linear algebra, calculus
無備註
Lecture
Midterm 10%, Assignment 70%, Final Project 20%
教師未提供此項資料
| 週次 | 主題 |
|---|---|
| 第 1 週 | Course Introduction: Overview of objectives, grading, and an introduction to deep learning and multimedia security. 2026-02-25(三) 時數：[2026-02-25]許志仲(3.00) |
| 第 2 週 | Deep Learning Fundamentals: Neural networks, backpropagation, and core architecture concepts. 2026-03-04(三) 時數：[2026-03-04]許志仲(3.00) |
| 第 3 週 | Convolutional Neural Networks (CNNs): Image processing and classification applications. 2026-03-11(三) 時數：[2026-03-11]許志仲(3.00) |
| 第 4 週 | Optimization & Training Techniques: Loss functions, gradient descent, regularization, transfer learning. 2026-03-18(三) 時數：[2026-03-18]許志仲(3.00) |
| 第 5 週 | Object Detection & Semantic Segmentation: Overview of Faster R-CNN, YOLO, FCN, DeepLabv3+, SAMv2/v2, UniDet, etc. 2026-03-25(三) 時數：[2026-03-25]許志仲(3.00) |
| 第 6 週 | Image Restoration & Super-Resolution: Introduction to DIP, SRCNN, EDSR, GAN-based, and DRCT restoration. 2026-04-01(三) 時數：[2026-04-01]許志仲(3.00) |
| 第 7 週 | Foundation Models: Overview of ViT, Swin, DINO, and their applications in computer vision. 2026-04-08(三) 時數：[2026-04-08]許志仲(3.00) |
| 第 8 週 | Multi-Dimensional Image Analysis: Medical imaging (MRI/CT) and hyperspectral imaging techniques. 2026-04-15(三) 時數：[2026-04-15]許志仲(3.00) |
| 第 9 週 | Midterm 2026-04-22(三) 時數：[2026-04-22]許志仲(3.00) |
| 第 10 週 | Deepfake Detection: Methods to identify and prevent Deepfake media. 2026-04-29(三) 時數：[2026-04-29]許志仲(3.00) |
| 第 11 週 | Adversarial Attacks & Defenses: Generating adversarial examples and implementing defensive strategies. 2026-05-06(三) 時數：[2026-05-06]許志仲(3.00) |
| 第 12 週 | Multimedia Forensics: Hyperspectral image forensics and security analysis. 2026-05-13(三) 時數：[2026-05-13]許志仲(3.00) |
| 第 13 週 | Robust Deep Learning: Techniques to improve model reliability and security against adversarial threats. 2026-05-20(三) 時數：[2026-05-20]許志仲(3.00) |
| 第 14 週 | Federated Learning & Security: Privacy protection, collaborative learning, and distributed security. 2026-05-27(三) 時數：[2026-05-27]許志仲(3.00) |
| 第 15 週 | Industry Expert Talk: Exploring cutting-edge developments in multimedia security. 2026-06-03(三) 時數：[2026-06-03]許志仲(3.00) |
| 第 16 週 | Final Project Submission: Students present their research and security solutions. 2026-06-10(三) 時數：[2026-06-10]許志仲(3.00) |
n/a
- 地點
- Office 208
- 時間
- 1100am at 208 office
- 聯絡方式
- chihchung [at] nycu.edu.tw