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 CM217（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, calculas
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. 2025-02-19(三) 時數：[2025-02-19]許志仲(3.00) |
| 第 2 週 | Deep Learning Fundamentals: Neural networks, backpropagation, and core architecture concepts. 2025-02-26(三) 時數：[2025-02-26]許志仲(3.00) |
| 第 3 週 | Convolutional Neural Networks (CNNs): Image processing and classification applications. 2025-03-05(三) 時數：[2025-03-05]許志仲(3.00) |
| 第 4 週 | Optimization & Training Techniques: Loss functions, gradient descent, regularization, transfer learning. 2025-03-12(三) 時數：[2025-03-12]許志仲(3.00) |
| 第 5 週 | Object Detection & Semantic Segmentation: Overview of Faster R-CNN, YOLO, FCN, DeepLabv3+, SAMv2/v2, UniDet, etc. 2025-03-19(三) 時數：[2025-03-19]許志仲(3.00) |
| 第 6 週 | Image Restoration & Super-Resolution: Introduction to DIP, SRCNN, EDSR, GAN-based, and DRCT restoration. 2025-03-26(三) 時數：[2025-03-26]許志仲(3.00) |
| 第 7 週 | Foundation Models: Overview of ViT, Swin, DINO, and their applications in computer vision. 2025-04-02(三) 時數：[2025-04-02]許志仲(3.00) |
| 第 8 週 | Multi-Dimensional Image Analysis: Medical imaging (MRI/CT) and hyperspectral imaging techniques. 2025-04-09(三) 時數：[2025-04-09]許志仲(3.00) |
| 第 9 週 | Midterm 2025-04-16(三) 時數：[2025-04-16]許志仲(3.00) |
| 第 10 週 | Deepfake Detection: Methods to identify and prevent Deepfake media. 2025-04-23(三) 時數：[2025-04-23]許志仲(3.00) |
| 第 11 週 | Adversarial Attacks & Defenses: Generating adversarial examples and implementing defensive strategies. 2025-04-30(三) 時數：[2025-04-30]許志仲(3.00) |
| 第 12 週 | Multimedia Forensics: Hyperspectral image forensics and security analysis. 2025-05-07(三) 時數：[2025-05-07]許志仲(3.00) |
| 第 13 週 | Robust Deep Learning: Techniques to improve model reliability and security against adversarial threats. 2025-05-14(三) 時數：[2025-05-14]許志仲(3.00) |
| 第 14 週 | Federated Learning & Security: Privacy protection, collaborative learning, and distributed security. 2025-05-21(三) 時數：[2025-05-21]許志仲(3.00) |
| 第 15 週 | Industry Expert Talk: Exploring cutting-edge developments in multimedia security. 2025-05-28(三) 時數：[2025-05-28]許志仲(3.00) |
| 第 16 週 | Final Project Submission: Students present their research and security solutions. 2025-06-04(三) 時數：[2025-06-04]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