On The Security of Mesh-Based Media Hash-Dependent Watermarking Against Protocol Attacks. - Chun-Shien Lu; Chia-Mu Yu (ICME, 2005)

Robust non-interactive zero-knowledge watermarking scheme against cheating prover. - Chia-Mu Yu; Chun-Shien Lu (MM&Sec, 2005)

A Secure Quantum Communication Protocol Using Insecure Public Channels. - I-Ming Tsai; Chia-Mu Yu; Wei-Ting Tu; Sy-Yen Kuo (SEC, 2005)

Attack Probability Based Deterministic Key Predistribution Mechanism for Non-Uniform Sensor Deployment. - Chia-Mu Yu; Cheng-Chung Li; Chun-Shien Lu; Der-Tsai Lee; Sy-Yen Kuo (ICDCS Workshops, 2007)

Habitual Behavior-Based Opportunistic Data Forwarding in Wildlife Tracking. - Chia-Mu Yu; Chun-Shien Lu; Sy-Yen Kuo (ISWCS, 2007)

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 (MobiHoc, 2008)

Mobile Sensor Network Resilient Against Node Replication Attacks. - Chia-Mu Yu; Chun-Shien Lu; Sy-Yen Kuo (SECON, 2008)

A DoS-resilient en-route filtering scheme for sensor networks. - Chia-Mu Yu; Chun-Shien Lu; Sy-Yen Kuo (MobiHoc, 2009)

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 (PRDC, 2009)

A Simple Non-Interactive Pairwise Key Establishment Scheme in Sensor Networks. - Chia-Mu Yu; Chun-Shien Lu; Sy-Yen Kuo (SECON, 2009)

Efficient and Distributed Detection of Node Replication Attacks in Mobile Sensor Networks. - Chia-Mu Yu; Chun-Shien Lu; Sy-Yen Kuo (VTC Fall, 2009)

A constrained function based message authentication scheme for sensor networks. - Chia-Mu Yu; Chun-Shien Lu; Sy-Yen Kuo (WCNC, 2009)

Secure Multidimensional Queries in Tiered Sensor Networks - Chia-Mu Yu; Chun-Shien Lu; Sy-Yen Kuo (CoRR, 2009)

Constrained Function Based En-Route Filtering for Sensor Networks - Chia-Mu Yu; Chun-Shien Lu; Sy-Yen Kuo (CoRR, 2009)

Acquiring Authentic Data in Unattended Wireless Sensor Networks. - Chia-Mu Yu; Chi-Yuan Chen; Chun-Shien Lu; Sy-Yen Kuo; Han-Chieh Chao (Sensors, 2010)

Noninteractive pairwise key establishment for sensor networks. - Chia-Mu Yu; Chun-Shien Lu; Sy-Yen Kuo (IEEE Trans. Inf. Forensics Secur., 2010)

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 (ICIP, 2011)

An application-driven attack probability-based deterministic pairwise key pre-distribution scheme for non-uniformly deployed sensor networks. - Chia-Mu Yu; Cheng-Chung Li; Chun-Shien Lu; Sy-Yen Kuo (Int. J. Sens. Networks, 2011)

Practical and Secure Multidimensional Query Framework in Tiered Sensor Networks. - Chia-Mu Yu; Yao-Tung Tsou; Chun-Shien Lu; Sy-Yen Kuo (IEEE Trans. Inf. Forensics Secur., 2011)

Constrained Function-Based Message Authentication for Sensor Networks. - Chia-Mu Yu; Yao-Tung Tsou; Chun-Shien Lu; Sy-Yen Kuo (IEEE Trans. Inf. Forensics Secur., 2011)

CSI: Compressed sensing-based clone identification in sensor networks. - Chia-Mu Yu; Chun-Shien Lu; Sy-Yen Kuo (PerCom Workshops, 2012)

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 (VTC Fall, 2012)

Reducing Reconciliation Communication Cost with Compressed Sensing - H. T. Kung 001; Chia-Mu Yu (CoRR, 2012)

Compressed Sensing Detector Design for Space Shift Keying in MIMO Systems. - Chia-Mu Yu; Sung-Hsien Hsieh; Han-Wen Liang; Chun-Shien Lu; Wei-Ho Chung; Sy-Yen Kuo; Soo-Chang Pei (IEEE Commun. Lett., 2012)

Top-k query result completeness verification in sensor networks. - Chia-Mu Yu; Guo-Kai Ni; Ing-Yi Chen; Erol Gelenbe; Sy-Yen Kuo (ICC Workshops, 2013)

Localized Algorithms for Detection of Node Replication Attacks in Mobile Sensor Networks. - Chia-Mu Yu; Yao-Tung Tsou; Chun-Shien Lu; Sy-Yen Kuo (IEEE Trans. Inf. Forensics Secur., 2013)

Sensor localization via robust principle component analysis. - Chia-Mu Yu; Li-Wei Kang (ICCE-TW, 2014)

Privacy-Preserving Power Request in Smart Grid Networks. - Chia-Mu Yu; Chi-Yuan Chen; Sy-Yen Kuo; Han-Chieh Chao (IEEE Syst. J., 2014)

Top-$k$ Query Result Completeness Verification in Tiered Sensor Networks. - Chia-Mu Yu; Guo-Kai Ni; Ing-Yi Chen; Erol Gelenbe; Sy-Yen Kuo (IEEE Trans. Inf. Forensics Secur., 2014)

POSTER: Lightweight Streaming Authenticated Data Structures. - Chia-Mu Yu (CCS, 2015)

Deterministic detection of node replication attacks in sensor networks. - Yu-Shen Ho; Ruay-Lien Ma; Cheng-En Sung; I-Chen Tsai; Li-Wei Kang; Chia-Mu Yu (ICCE-TW, 2015)

Verifiable, privacy-assured, and accurate signal collection for cloud-assisted wireless sensor networks. - Chia-Mu Yu; Chi-Yuan Chen; Han-Chieh Chao (IEEE Commun. Mag., 2015)

Proof of ownership in deduplicated cloud storage with mobile device efficiency. - Chia-Mu Yu; Chi-Yuan Chen; Han-Chieh Chao (IEEE Netw., 2015)

High-Dimensional Crowdsourced Data Distribution Estimation with Local Privacy. - Xuebin Ren; Chia-Mu Yu; Weiren Yu; Shusen Yang; Xinyu Yang 001; Julie A. McCann (CIT, 2016)

POSTER: Efficient Cross-User Chunk-Level Client-Side Data Deduplication with Symmetrically Encrypted Two-Party Interactions. - Chia-Mu Yu (CCS, 2016)

Counteracting UDP flooding attacks in SDN. - Hung-Chuan Wei; Yung-Hao Tung; Chia-Mu Yu (NetSoft, 2016)

XDedup: Efficient Provably-Secure Cross-User Chunk-Level Client-Side Deduplicated Cloud Storage of Encrypted Data. - Chia-Mu Yu (IACR Cryptol. ePrint Arch., 2016)

Compressed Sensing-Based Clone Identification in Sensor Networks. - Chia-Mu Yu; Chun-Shien Lu; Sy-Yen Kuo (IEEE Trans. Wirel. Commun., 2016)

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 (AINA, 2017)

Enabling End-Users to Protect their Privacy. - Mahmoud Barhamgi; Mu Yang; Chia-Mu Yu; Yijun Yu; Arosha K. Bandara; Djamal Benslimane; Bashar Nuseibeh (AsiaCCS, 2017)

POSTER: A Unified Framework of Differentially Private Synthetic Data Release with Generative Adversarial Network. - Pei-Hsuan Lu; Chia-Mu Yu (CCS, 2017)

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 (PRDC, 2017)

Key Management in Internet of Things via Kronecker Product. - I-Chen Tsai; Chia-Mu Yu; Haruo Yokota; Sy-Yen Kuo (PRDC, 2017)

Data-Driven and Deep Learning Methodology for Deceptive Advertising and Phone Scams Detection. - TonTon Hsien-De Huang; Chia-Mu Yu; Hung-Yu Kao (TAAI, 2017)

Practical integrity preservation for data streaming in cloud-assisted healthcare sensor systems. - Chi-Yuan Chen; Hsin-Min Wu; Lei Wang 029; Chia-Mu Yu (Comput. Networks, 2017)

R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections. - Hsien-De Huang; Chia-Mu Yu; Hung-Yu Kao (CoRR, 2017)

Privacy-Preserving Multikeyword Similarity Search Over Outsourced Cloud Data. - Chia-Mu Yu; Chi-Yuan Chen; Han-Chieh Chao (IEEE Syst. J., 2017)

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 (DASC/PiCom/DataCom/CyberSciTech, 2018)

On the Limitation of MagNet Defense Against L1-Based Adversarial Examples. - Pei-Hsuan Lu; Pin-Yu Chen; Kang-Cheng Chen; Chia-Mu Yu (DSN Workshops, 2018)

On the Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces. - Chia-Yi Hsu; Pei-Hsuan Lu; Pin-Yu Chen; Chia-Mu Yu (GlobalSIP, 2018)

On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples. - Pei-Hsuan Lu; Pin-Yu Chen; Chia-Mu Yu (ICLR (Workshop), 2018)

RARE: Defeating side channels based on data-deduplication in cloud storage. - Zahra Pooranian; Kang-Cheng Chen; Chia-Mu Yu; Mauro Conti (INFOCOM Workshops, 2018)

VENUS: Verifiable range query in data streaming. - I-Chen Tsai; Chia-Mu Yu; Haruo Yokota; Sy-Yen Kuo (INFOCOM Workshops, 2018)

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 (PRDC, 2018)

On the Limitation of MagNet Defense against L1-based Adversarial Examples. - Pei-Hsuan Lu; Pin-Yu Chen; Kang-Cheng Chen; Chia-Mu Yu (CoRR, 2018)

MDSClone: Multidimensional Scaling Aided Clone Detection in Internet of Things. - Po-Yen Lee; Chia-Mu Yu; Tooska Dargahi; Mauro Conti; Giuseppe Bianchi 001 (IEEE Trans. Inf. Forensics Secur., 2018)

LoPub: High-Dimensional Crowdsourced Data Publication With Local Differential Privacy. - Xuebin Ren; Chia-Mu Yu; Weiren Yu; Shusen Yang; Xinyu Yang 001; Julie A. McCann; Philip S. Yu (IEEE Trans. Inf. Forensics Secur., 2018)

Characterizing Adversarial Subspaces by Mutual Information. - Chia-Yi Hsu; Pin-Yu Chen; Chia-Mu Yu (AsiaCCS, 2019)

Differentially Private Event Sequences over Infinite Streams with Relaxed Privacy Guarantee. - Xuebin Ren; Shuyang Wang; Xianghua Yao; Chia-Mu Yu; Wei Yu 002; Xinyu Yang 001 (WASA, 2019)

Empirical Evaluation on Synthetic Data Generation with Generative Adversarial Network. - Pei-Hsuan Lu; Pang-Chieh Wang; Chia-Mu Yu (WIMS, 2019)

Locally Differentially Private Minimum Finding. - Kazuto Fukuchi; Chia-Mu Yu; Arashi Haishima; Jun Sakuma (CoRR, 2019)

Detecting Deepfake-Forged Contents with Separable Convolutional Neural Network and Image Segmentation. - Chia-Mu Yu; Ching-Tang Chang; Yen-Wu Ti (CoRR, 2019)

On the Privacy Risks of Compromised Trigger-Action Platforms. - Yu-Hsi Chiang; Hsu-Chun Hsiao; Chia-Mu Yu; Tiffany Hyun-Jin Kim (ESORICS (2), 2020)

Benchmarking Dynamic Searchable Symmetric Encryption Scheme for Cloud-Internet of Things Applications. - Yen-Wu Ti; Chia-Feng Wu; Chia-Mu Yu; Sy-Yen Kuo (IEEE Access, 2020)

DPCrowd: Privacy-preserving and Communication-efficient Decentralized Statistical Estimation for Real-time Crowd-sourced Data. - Xuebin Ren; Chia-Mu Yu; Wei Yu 002; Xinyu Yang 001; Jun Zhao 007; Shusen Yang (CoRR, 2020)

Special issue on Trusted Cloud-Edges Computations. - Claudio Agostino Ardagna; Mauro Conti; Chia-Mu Yu (Future Gener. Comput. Syst., 2020)

Privacy Aware Data Deduplication for Side Channel in Cloud Storage. - Chia-Mu Yu; Sarada Prasad Gochhayat; Mauro Conti; Chun-Shien Lu (IEEE Trans. Cloud Comput., 2020)

Privacy in Data Service Composition. - Mahmoud Barhamgi; Charith Perera; Chia-Mu Yu; Djamal Benslimane; David Camacho; Christine Bonnet (IEEE Trans. Serv. Comput., 2020)

Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation With Manipulable Semantics. - Jia-Wei Chen; Li-Ju Chen; Chia-Mu Yu; Chun-Shien Lu (CVPR, 2021)

Non-Singular Adversarial Robustness of Neural Networks. - Yu-Lin Tsai; Chia-Yi Hsu; Chia-Mu Yu; Pin-Yu Chen (ICASSP, 2021)

Catastrophic Data Leakage in Vertical Federated Learning. - Xiao Jin; Pin-Yu Chen; Chia-Yi Hsu; Chia-Mu Yu; Tianyi Chen (NeurIPS, 2021)

Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations. - Yu-Lin Tsai; Chia-Yi Hsu; Chia-Mu Yu; Pin-Yu Chen (NeurIPS, 2021)

Adversarial Examples for Unsupervised Machine Learning Models. - Chia-Yi Hsu; Pin-Yu Chen; Songtao Lu; Sijia Lu; Chia-Mu Yu (CoRR, 2021)

Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations. - Yu-Lin Tsai; Chia-Yi Hsu; Chia-Mu Yu; Pin-Yu Chen (CoRR, 2021)

Real-World Adversarial Examples involving Makeup Application. - Chang-Sheng Lin; Chia-Yi Hsu; Pin-Yu Chen; Chia-Mu Yu (CoRR, 2021)

CAFE: Catastrophic Data Leakage in Vertical Federated Learning. - Xiao Jin; Pin-Yu Chen; Chia-Yi Hsu; Chia-Mu Yu; Tianyi Chen (CoRR, 2021)

Meta Adversarial Perturbations. - Chia-Hung Yuan; Pin-Yu Chen; Chia-Mu Yu (CoRR, 2021)

Editorial: Special issue on trusted Cloud-Edges computations. - Claudio A. Ardagna; Mauro Conti; Ernesto Damiani; Chia-Mu Yu (Future Gener. Comput. Syst., 2021)

DPCrowd: Privacy-Preserving and Communication-Efficient Decentralized Statistical Estimation for Real-Time Crowdsourced Data. - Xuebin Ren; Chia-Mu Yu; Wei Yu 002; Xinyu Yang 001; Jun Zhao 007; Shusen Yang (IEEE Internet Things J., 2021)

(k, ε , δ)-Anonymization: privacy-preserving data release based on k-anonymity and differential privacy. - Yao-Tung Tsou; Mansour Naser Alraja; Li-Sheng Chen; Yu-Hsiang Chang; Yung-Li Hu; Yennun Huang; Chia-Mu Yu; Pei-Yuan Tsai (Serv. Oriented Comput. Appl., 2021)

Introduction to the Special Issue on Security and Privacy for Connected Cyber-physical Systems. - Moreno Ambrosin; Mauro Conti; Riccardo Lazzeretti; Chia-Mu Yu (ACM Trans. Cyber Phys. Syst., 2021)

Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning. - Chia-Yi Hsu; Pin-Yu Chen; Songtao Lu; Sijia Liu 001; Chia-Mu Yu (AAAI, 2022)

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 (CVPR, 2022)

Real-World Adversarial Examples Via Makeup. - Chang-Sheng Lin; Chia-Yi Hsu; Pin-Yu Chen; Chia-Mu Yu (ICASSP, 2022)

DeepClean: A Robust Deep Learning Technique for Autonomous Vehicle Camera Data Privacy. - Olayinka Adeboye; Tooska Dargahi; Meisam Babaie; Mohamad Saraee; Chia-Mu Yu (IEEE Access, 2022)

Intelligent reflecting surface-aided network planning. - Fan-Hsun Tseng; Yu-Shan Liang; Yen-Wu Ti; Chia-Mu Yu (IET Commun., 2022)

DPView: Differentially Private Data Synthesis Through Domain Size Information. - Chih-Hsun Lin; Chia-Mu Yu; Chun-Ying Huang (IEEE Internet Things J., 2022)

Integration of Blockchain with Connected and Autonomous Vehicles: Vision and Challenge. - Tooska Dargahi; Hossein Ahmadvand; Mansour Naser Alraja; Chia-Mu Yu (ACM J. Data Inf. Qual., 2022)

SegNet: a network for detecting deepfake facial videos. - Chia-Mu Yu; Kang-Cheng Chen; Ching-Tang Chang; Yen-Wu Ti (Multim. Syst., 2022)

Locally Differentially Private Minimum Finding. - Kazuto Fukuchi; Chia-Mu Yu; Jun Sakuma (IEICE Trans. Inf. Syst., 2022)

Expectation-Maximization Estimation for Key-Value Data Randomized with Local Differential Privacy. - Hikaru Horigome; Hiroaki Kikuchi; Chia-Mu Yu (AINA (2), 2023)

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 (ICASSP, 2023)

Exploring the Benefits of Visual Prompting in Differential Privacy. - Yizhe Li; Yu-Lin Tsai; Chia-Mu Yu; Pin-Yu Chen; Xuebin Ren (ICCV, 2023)

Local Differential Privacy Protocol for Making Key-Value Data Robust Against Poisoning Attacks. - Hikaru Horigome; Hiroaki Kikuchi; Chia-Mu Yu (MDAI, 2023)

Exploring the Benefits of Differentially Private Pre-training and Parameter-Efficient Fine-tuning for Table Transformers. - Xilong Wang; Chia-Mu Yu; Pin-Yu Chen (CoRR, 2023)

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 (CoRR, 2023)

On the Private Data Synthesis Through Deep Generative Models for Data Scarcity of Industrial Internet of Things. - Yen-Ting Chen; Chia-Yi Hsu; Chia-Mu Yu; Mahmoud Barhamgi; Charith Perera (IEEE Trans. Ind. Informatics, 2023)

Guest Editorial of the Special Section on Consumer Electronics With Artificial Intelligence. - Fabrizio Lamberti; Alberto Cannavò; Zaixing He; Lucia Pepa; Chia-Mu Yu (IEEE Trans. Consumer Electron., 2023)

Counteracting Side Channels in Cross-User Client-Side Deduplicated Cloud Storage. - Chia-Mu Yu (IEEE Internet Things J., 2023)

LDoS Attacks Detection for ICPS NB-IoTs Environment via SE-Based CNN. - Hsin-Hung Cho; Min-Yan Tsai; Jiang-Yi Zeng; Chia-Mu Yu; Han-Chieh Chao; Ilsun You (IEEE Syst. J., 2023)

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 (DSN-S, 2024)

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 (ICASSP, 2024)

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 (ICLR, 2024)

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 026; Pin-Yu Chen; Chia-Mu Yu; Chun-Ying Huang (ICLR, 2024)

On the Higher Moment Disparity of Backdoor Attacks. - Ching-Chia Kao; Cheng-Yi Lee; Chun-Shien Lu; Chia-Mu Yu; Chu-Song Chen (ICME, 2024)

Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models. - Chia-Yi Hsu; Yu-Lin Tsai; Chih-Hsun Lin; Pin-Yu Chen; Chia-Mu Yu; Chun-Ying Huang (NeurIPS, 2024)

Neural Network-based Functional Degradation for Cyber-Physical Systems. - Zheng-Hong Huang; Yu-Sung Wu; Ying-Dar Lin; Chia-Mu Yu; Wei-Bin Lee (QRS, 2024)

Image Forensics Strikes Back: Defense Against Adversarial Patch. - Ching-Chia Kao; Chun-Shien Lu; Chia-Mu Yu (VCIP, 2024)

Deepfake Detection through Temporal Attention. - Hsiu-Fu Wu; Chia-Yi Hsu; Chih-Hsun Lin; Chia-Mu Yu; Chun-Ying Huang (WOCC, 2024)

Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models. - Chia-Yi Hsu; Yu-Lin Tsai; Chih-Hsun Lin; Pin-Yu Chen; Chia-Mu Yu; Chun-Ying Huang (CoRR, 2024)

Differentially Private Fine-Tuning of Diffusion Models. - Yu-Lin Tsai; Yizhe Li; Zekai Chen; Po-Yu Chen; Chia-Mu Yu; Xuebin Ren; Francois Buet-Golfouse (CoRR, 2024)

Defending Against Repetitive-based 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 (CoRR, 2024)

Exploring Robustness of Visual State Space model against Backdoor Attacks. - Cheng-Yi Lee; Cheng-Chang Tsai; Chia-Mu Yu; Chun-Shien Lu (CoRR, 2024)

Information-Theoretical Principled Trade-off between Jailbreakability and Stealthiness on Vision Language Models. - Ching-Chia Kao; Chia-Mu Yu; Chun-Shien Lu; Chu-Song Chen (CoRR, 2024)

Effective Adversarial Examples Identification of Credit Card Transactions. - Min-Yan Tsai; Hsin-Hung Cho; Chia-Mu Yu; Yao-Chung Chang; Han-Chieh Chao (IEEE Intell. Syst., 2024)

Prompting the Unseen: Detecting Hidden Backdoors in Black-Box Models. - Zi-Xuan Huang; Jia-Wei Chen; Zhi-Peng Zhang; Chia-Mu Yu (DSN, 2025)

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 (ICASSP, 2025)

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 (WACV, 2025)

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 (WACV, 2025)

Enhancing can security with ML-based IDS: Strategies and efficacies against adversarial attacks. - Ying-Dar Lin; Wei-Hsiang Chan; Yuan-Cheng Lai; Chia-Mu Yu; Yu-Sung Wu; Wei-Bin Lee (Comput. Secur., 2025)

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors. - Chia-Yi Hsu; Yu-Lin Tsai; Yu Zhe; Yan-Lun Chen; Chih-Hsun Lin; Chia-Mu Yu; Yang Zhang; Chun-Ying Huang; Jun Sakuma (CoRR, 2025)

Safety Alignment Depth in Large Language Models: A Markov Chain Perspective. - Ching-Chia Kao; Chia-Mu Yu; Chun-Shien Lu; Chu-Song Chen (CoRR, 2025)

Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge. - Yan-Lun Chen; Yi-Ru Wei; Chia-Yi Hsu; Chia-Mu Yu; Chun-Ying Huang; Ying-Dar Lin; Yu-Sung Wu; Wei-Bin Lee (CoRR, 2025)

Beyond Natural Language Perplexity: Detecting Dead Code Poisoning in Code Generation Datasets. - Chi-Chien Tsai; Chia-Mu Yu; Ying-Dar Lin; Yu-Sung Wu; Wei-Bin Lee (CoRR, 2025)

Data Poisoning Attacks to Locally Differentially Private Range Query Protocols. - Ting-Wei Liao; Chih-Hsun Lin; Yu-Lin Tsai; Takao Murakami; Chia-Mu Yu; Jun Sakuma; Chun-Ying Huang; Hiroaki Kikuchi (CoRR, 2025)

Poisoning Attacks to Local Differential Privacy Protocols for Trajectory Data. - I-Jung Hsu; Chih-Hsun Lin; Chia-Mu Yu; Sy-Yen Kuo; Chun-Ying Huang (CoRR, 2025)

DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase. - Chih-Hsun Lin; Chia-Yi Hsu; Chia-Mu Yu; Yang Cao 011; Chun-Ying Huang (IEEE Internet Things J., 2025)

Adversarial Examples in Consumer Electronics: Deceptive Threats to AI Systems. - Chia-Mu Yu; Hsin-Hung Cho; Reza Malekian; Alireza Jolfaei; Lei Shu (IEEE Consumer Electron. Mag., 2025)

Fine-grained Manipulation Attacks to Local Differential Privacy Protocols for Data Streams. - Xinyu Li; Xuebin Ren; Shusen Yang; Liang Shi; Chia-Mu Yu (CoRR, 2025)

Model Reprogramming Demystified: A Neural Tangent Kernel Perspective. - Ming-Yu Chung; Jiashuo Fan; Hancheng Ye; Qinsi Wang; Wei-Chen Shen; Chia-Mu Yu; Pin-Yu Chen; Sy-Yen Kuo (CoRR, 2025)