| 2025 | DSN | Prompting the Unseen: Detecting Hidden Backdoors in Black-Box Models. | Zi-Xuan Huang, Jia-Wei Chen, Zhi-Peng Zhang, Chia-Mu Yu |
| 2025 | ECAI | BadVim: Unveiling Backdoor Threats in Visual State Space Model. | Cheng-Yi Lee, Yu-Hsuan Chiang, Zhong-You Wu, Chia-Mu Yu, Chun-Shien Lu |
| 2025 | ICASSP | VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis. | Chia-Yi Hsu, Jia-You Chen, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang |
| 2025 | ICCV | Differentially Private Fine-Tuning of Diffusion Models. | Yu-Lin Tsai, Yizhe Li, Chia-Mu Yu, Xuebin Ren, Po-Yu Chen, Zekai Chen, Francois Buet-Golfouse |
| 2025 | WACV | Defending Against Repetitive Backdoor Attacks on Semi-Supervised Learning Through Lens of Rate-Distortion-Perception Trade-Off. | Cheng-Yi Lee, Ching-Chia Kao, Cheng-Han Yeh, Chun-Shien Lu, Chia-Mu Yu, Chu-Song Chen |
| 2025 | WACV | DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models. | Shyam Marjit, Harshit Singh, Nityanand Mathur, Sayak Paul, Chia-Mu Yu, Pin-Yu Chen |
| 2024 | DSN | Road Decals as Trojans: Disrupting Autonomous Vehicle Navigation with Adversarial Patterns. | Wei-Jia Chen, Chia-Yi Hsu, Wei-Bin Lee, Chia-Mu Yu, Chun-Ying Huang |
| 2024 | ICASSP | Defending against Clean-Image Backdoor Attack in Multi-Label Classification. | Cheng-Yi Lee, Cheng-Chang Tsai, Ching-Chia Kao, Chun-Shien Lu, Chia-Mu Yu |
| 2024 | ICLR | Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective. | Ming-Yu Chung, Sheng-Yen Chou, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo, Tsung-Yi Ho |
| 2024 | ICLR | Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? | Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia-You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang |
| 2024 | QRS | Neural Network-based Functional Degradation for Cyber-Physical Systems. | Zheng-Hong Huang, Yu-Sung Wu, Ying-Dar Lin, Chia-Mu Yu, Wei-Bin Lee |
| 2024 | VCIP | Image Forensics Strikes Back: Defense Against Adversarial Patch. | Ching-Chia Kao, Chun-Shien Lu, Chia-Mu Yu |
| 2023 | AINA | Expectation-Maximization Estimation for Key-Value Data Randomized with Local Differential Privacy. | Hikaru Horigome, Hiroaki Kikuchi, Chia-Mu Yu |
| 2023 | ICASSP | Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise. | Jhih-Cing Huang, Yu-Lin Tsai, Chao-Han Huck Yang, Cheng-Fang Su, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo |
| 2023 | ICCV | Exploring the Benefits of Visual Prompting in Differential Privacy. | Yizhe Li, Yu-Lin Tsai, Chia-Mu Yu, Pin-Yu Chen, Xuebin Ren |
| 2023 | MDAI | Local Differential Privacy Protocol for Making Key-Value Data Robust Against Poisoning Attacks. | Hikaru Horigome, Hiroaki Kikuchi, Chia-Mu Yu |
| 2022 | AAAI | Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning. | Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Chia-Mu Yu |
| 2022 | CVPR | DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis. | Jia-Wei Chen, Chia-Mu Yu, Ching-Chia Kao, Tzai-Wei Pang, Chun-Shien Lu |
| 2022 | ICASSP | Real-World Adversarial Examples Via Makeup. | Chang-Sheng Lin, Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu |
| 2021 | CVPR | Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation With Manipulable Semantics. | Jia-Wei Chen, Li-Ju Chen, Chia-Mu Yu, Chun-Shien Lu |
| 2021 | ICASSP | Non-Singular Adversarial Robustness of Neural Networks. | Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen |
| 2020 | ESORICS | On the Privacy Risks of Compromised Trigger-Action Platforms. | Yu-Hsi Chiang, Hsu-Chun Hsiao, Chia-Mu Yu, Tiffany Hyun-Jin Kim |
| 2019 | CCS | Characterizing Adversarial Subspaces by Mutual Information. | Chia-Yi Hsu, Pin-Yu Chen, Chia-Mu Yu |
| 2018 | DASC | Abnormal-Node Detection Based on Spatio-Temporal and Multivariate-Attribute Correlation in Wireless Sensor Networks. | Nesrine Berjab, Hieu Hanh Le, Chia-Mu Yu, Sy-Yen Kuo, Haruo Yokota |
| 2018 | DSN | On the Limitation of MagNet Defense Against L1-Based Adversarial Examples. | Pei-Hsuan Lu, Pin-Yu Chen, Kang-Cheng Chen, Chia-Mu Yu |
| 2018 | ICLR | On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples. | Pei-Hsuan Lu, Pin-Yu Chen, Chia-Mu Yu |
| 2018 | INFOCOM | RARE: Defeating side channels based on data-deduplication in cloud storage. | Zahra Pooranian, Kang-Cheng Chen, Chia-Mu Yu, Mauro Conti |
| 2018 | INFOCOM | VENUS: Verifiable range query in data streaming. | I-Chen Tsai, Chia-Mu Yu, Haruo Yokota, Sy-Yen Kuo |
| 2018 | PRDC | Hierarchical Abnormal-Node Detection Using Fuzzy Logic for ECA Rule-Based Wireless Sensor Networks. | Nesrine Berjab, Hieu Hanh Le, Chia-Mu Yu, Sy-Yen Kuo, Haruo Yokota |
| 2017 | AINA | Data-Driven Approach for Evaluating Risk of Disclosure and Utility in Differentially Private Data Release. | Kang-Cheng Chen, Chia-Mu Yu, Bo-Chen Tai, Szu-Chuang Li, Yao-Tung Tsou, Yennun Huang, Chia-Ming Lin |
| 2017 | CCS | Enabling End-Users to Protect their Privacy. | Mahmoud Barhamgi, Mu Yang, Chia-Mu Yu, Yijun Yu, Arosha K. Bandara, Djamal Benslimane, Bashar Nuseibeh |
| 2017 | CCS | POSTER: A Unified Framework of Differentially Private Synthetic Data Release with Generative Adversarial Network. | Pei-Hsuan Lu, Chia-Mu Yu |
| 2017 | PRDC | Evaluating the Risk of Data Disclosure Using Noise Estimation for Differential Privacy. | Hung-Li Chen, Jia-Yang Chen, Yao-Tung Tsou, Chia-Mu Yu, Bo-Chen Tai, Szu-Chuang Li, Yennun Huang, Chia-Ming Lin |
| 2017 | PRDC | Key Management in Internet of Things via Kronecker Product. | I-Chen Tsai, Chia-Mu Yu, Haruo Yokota, Sy-Yen Kuo |
| 2016 | CCS | POSTER: Efficient Cross-User Chunk-Level Client-Side Data Deduplication with Symmetrically Encrypted Two-Party Interactions. | Chia-Mu Yu |
| 2016 | NetSoft | Counteracting UDP flooding attacks in SDN. | Hung-Chuan Wei, Yung-Hao Tung, Chia-Mu Yu |
| 2015 | CCS | POSTER: Lightweight Streaming Authenticated Data Structures. | Chia-Mu Yu |
| 2012 | PERCOM | CSI: Compressed sensing-based clone identification in sensor networks. | Chia-Mu Yu, Chun-Shien Lu, Sy-Yen Kuo |
| 2012 | VTC | Resource Block Assignment for Interference Avoidance in Femtocell Networks. | Yu-Shan Liang, Wei-Ho Chung, Chia-Mu Yu, Hongke Zhang, Chung-Hsiu Chung, Chih-Hsiang Ho, Sy-Yen Kuo |
| 2011 | ICIP | Secure transcoding for compressive multimedia sensing. | Li-Wei Kang, Chih-Yang Lin, Hung-Wei Chen, Chia-Mu Yu, Chun-Shien Lu, Chao-Yung Hsu, Soo-Chang Pei |
| 2009 | MOBIHOC | A DoS-resilient en-route filtering scheme for sensor networks. | Chia-Mu Yu, Chun-Shien Lu, Sy-Yen Kuo |
| 2009 | PRDC | Increasing Reliability for IEEE 802.16j Mobile Multi-hop Relay Networks Planning. | Chi-Yuan Chen, Yu-Shan Liang, Chia-Mu Yu, Chih-Hsiang Ho, Sy-Yen Kuo |
| 2009 | VTC | Efficient and Distributed Detection of Node Replication Attacks in Mobile Sensor Networks. | Chia-Mu Yu, Chun-Shien Lu, Sy-Yen Kuo |
| 2009 | WCNC | A constrained function based message authentication scheme for sensor networks. | Chia-Mu Yu, Chun-Shien Lu, Sy-Yen Kuo |
| 2009 | SECON | A Simple Non-Interactive Pairwise Key Establishment Scheme in Sensor Networks. | Chia-Mu Yu, Chun-Shien Lu, Sy-Yen Kuo |
| 2008 | MOBIHOC | A constrained random perturbation vector-based pairwise key establishment scheme for wireless sensor networks. | Chia-Mu Yu, Ting-Yun Chi, Chun-Shien Lu, Sy-Yen Kuo |
| 2008 | SECON | Mobile Sensor Network Resilient Against Node Replication Attacks. | Chia-Mu Yu, Chun-Shien Lu, Sy-Yen Kuo |
| 2005 | SEC | A Secure Quantum Communication Protocol Using Insecure Public Channels. | I-Ming Tsai, Chia-Mu Yu, Wei-Ting Tu, Sy-Yen Kuo |