N-CRiPT
NUS Centre for Research in Privacy Technologies
N-CRiPT
NUS Centre for Research in Privacy Technologies
N-CRiPT
NUS Centre for Research in Privacy Technologies
N-CRiPT
NUS Centre for Research in Privacy Technologies
N-CRiPT
NUS Centre for Research in Privacy Technologies
N-CRiPT
NUS Centre for Research in Privacy Technologies
Research Articles
Publications
- Common Component in Black-Boxes is Prone to Attacks [PDF]
Jiyi Zhang, Wesley Joon-Wei Tann, Ee-Chien Chang, Hwee Kuan Lee
European Symposium on Research in Computer Security (ESORICS 2021)
- Unsupervised Motion Representation Learning with Capsule Autoencoders [PDF]
Ziwei Xu, Xudong Shen, Yongkang Wong, Mohan Kankanhalli
Neural Information Processing Systems (NeurIPS 2021)
- Learning to Predict Trustworthiness with Steep Slope Loss [PDF]
Yan Luo, Yongkang Wong, Mohan Kankanhalli, Qi Zhao
Neural Information Processing Systems (NeurIPS 2021)
- Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent [PDF]
Rishav Chourasia, Jiayuan Ye, Reza Shokri
Neural Information Processing Systems (NeurIPS 2021)
- Differentially Private Federated Bayesian Optimization with Distributed Exploration [PDF]
Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet
Neural Information Processing Systems (NeurIPS 2021)
- TEEKAP: Self-Expiring Data Capsule using Trusted Execution Environment [PDF]
Mingyuan Gao, Hung Dang , Ee-Chien Chang
Annual Computer Security Applications Conference (ACSAC 2021)
- Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks [PDF]
Xudong Shen, Yongkang Wong, Mohan Kankanhalli
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- Learning to Minimize Remainder in Supervised Learning [PDF]
Yan Luo, Yongkang Wong, Mohan Kankanhalli, Qi Zhao
IEEE Transactions on Multimedia (TMM)
- Variational Bayesian Unlearning [PDF]
Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
Conference on Neural Information Processing Systems (NeurIPS), 2020
- Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos [PDF]
Yu Cheng, Bo Wang, Bo Yang, Robby T. Tan
Association for the Advancement of Artificial Intelligence Conference (AAAI), 2021
- AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings [PDF]
Trong Nghia Hoang, Shenda Hong, Cao Xiao, Bryan Low, Jimeng Sun
International World-Wide Web Conference 2021
- A Flickering Context-based Mix Strategy for Privacy Protection in VANETs [PDF]
Zhixiang Zhang, Tianyi Feng, Biplab Sikdar, Wai-Choong Wong
IEEE International Conference on Communications (ICC 2021)
- Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks [PDF]
Yu Cheng, Bo Wang, Bo Yang, Robby T. Tan
Conference on Computer Vision and Pattern Recognition (CVPR 2021)
- Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition [PDF]
Ziwei Xu, Guangzhi Wang, Yongkang Wong, Mohan Kankanhalli
IEEE Transactions on Multimedia (TMM)
- Identifying Worry in Twitter: Beyond Emotion Analysis [PDF]
Reyha Verma, Christian von der Weth, Jithin Vachery, Mohan Kankanhalli
Fourth Workshop on Natural Language Processing and Computational Social Science in Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
- Who You Are Decides How You Tell [PDF]
Shuang Wu, Shaojing Fan, Zhiqi Shen, Mohan Kankanhalli, Anthony K.H. Tung
ACM Multimedia (ACM MM), 2020
- Helping Users Tackle Algorithmic Threats on Social Media:
A Multimedia Research Agenda [PDF]
Christian von der Weth, Ashraf Abdul, Shaojing Fan, Mohan Kankanhalli
ACM International Conference on Multimedia (ACM MM), 2020
- Membership Encoding for Deep Learning [PDF]
Congzheng Song, Reza Shokri
ACM Asia Conference on Computer and Communications Security (ACM ASIACCS), 2020
- Your Tattletale Gait: Privacy Invasiveness of IMU Gait Data [PDF]
Sanka Rasnayaka, Terence Sim
International Joint Conference on Biometrics (IJCB), 2020
- n-Reference Transfer Learning for Saliency Prediction [PDF]
Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
European Conference on Computer Vision (ECCV), 2020
- Object Tracking using Spatio-Temporal Networks for Future Prediction Location [PDF]
Yuan Liu, Ruoteng Li, Yu Cheng, Robby T. Tan, X. Sui
European Conference on Computer Vision (ECCV), 2020
- Private Outsourced Bayesian Optimization [PDF]
Dmitrii Kharkovskii, Zhongxiang Dai, Bryan Kian Hsiang Low
International Conference on Machine Learning (ICML), 2020
- Collaborative Machine Learning with Incentive-Aware Model Rewards [PDF]
Rachel Hwee Ling Sim, Yehong Zhang, Mun Choon Chan, Bryan Kian Hsiang Low
International Conference on Machine Learning (ICML), 2020
- Nudging Users to Slow down the Spread of Fake News in Social Media [PDF]
Christian von der Weth, Jithin Vachery, Mohan Kankanhalli
IEEE International Conference on Multimedia and Expo (ICME), 2020
- COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations [PDF]
Ashraf Abdul, Christian von der Weth, Mohan Kankanhalli, Brian Y Lim
ACM CHI Conference on Human Factors in Computing Systems (ACM CHI), 2020
- DeepDance: Music-to-Dance Motion Choreography with Adversarial Learning
Guofei Sun, Yongkang Wong, Zhiyong Cheng, Mohan Kankanhalli, Weidong Geng, Xiangdong Li
IEEE Transactions on Multimedia (TMM)
- Weakly-Supervised Multi-Person Action Recognition in 360◦ Videos [PDF]
Junnan Li, Jianquan Liu, Yongkang Wong, Shoji Nishimura, Mohan Kankanhalli
IEEE Winter Conference on Applications of Computer Vision (WACV), 2020
- GradMix: Multi-source Transfer across Domains and Tasks [PDF]
Junnan Li, Ziwei Xu, Yongkang Wang, Qi Zhao, Mohan Kankanhalli
IEEE Winter Conference on Applications of Computer Vision (WACV), 2020
- Direction Concentration Learning: Enhancing Congruency in Machine Learning
Yan Luo, Yongkang Wong, Mohan Kankanhalli, Qi Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- Embedding Symbolic Knowledge into Deep Networks [PDF]
Yaqi Xie, Ziwei Xu, Kuldeep Meel, Mohan Kankanhalli, Harold Soh
Conference on Neural Information Processing Systems (NeurIPS), 2019
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples [PDF]
Liwei Song, Reza Shokri, Prateek Mittal
ACM Conference on Computer and Communications Security (CCS), 2019
- Analyzing Subgraph Statistics from Extended Local Views with Decentralized Differential Privacy [PDF]
Haipei Sun, Xiaokui Xiao, Issa Khalil, Yin Yang, Zhan Qin, Hui Wang, Ting Yu
ACM Conference on Computer and Communications Security (CCS), 2019
- Location Privacy Preservation and Location-based Service Quality Tradeoff Framework Based on Differential Privacy [PDF]
Tianyi Feng, Wai-Choong Wong, Sumei Sun, Yonghao Zhao, Zhixiang Zhang
Workshop on Positioning, Navigation and Communications (WPNC), 2019
- Self-supervised Representation Learning Using 360◦ Data [PDF]
Junnan Li, Jianquan Liu, Yongkang Wong, Shoji Nishimura, Mohan Kankanhalli
ACM International Conference on Multimedia (ACM MM), 2019
- Unsupervised Domain Adaptation for 3D Human Pose Estimation [PDF]
Xiheng Zhang, Yongkang Wong, Mohan Kankanhalli, Weidong Geng
ACM International Conference on Multimedia (ACM MM), 2019
- Explainable Video Action Reasoning via Prior Knowledge and State Transitions [PDF]
Tao Zhuo, Zhiyong Cheng, Peng Zhang, Yongkang Wong, Mohan Kankanhalli
ACM International Conference on Multimedia (ACM MM), 2019
- Human-imperceptible Privacy Protection Against Machines [PDF]
Zhiqi Shen, Shaojing Fan, Yongkang Wong, Tian-Tsong Ng, Mohan Kankanhalli
ACM International Conference on Multimedia (ACM MM), 2019
- Efficient and Scalable Calibration-Free Indoor Positioning Using Crowdsourced Data [PDF]
Yonghao Zhao, Wai-Choong Wong, Tianyi Feng, Hari Krishna Garg
IEEE Internet of Things, Vol. 7, No. 1
- Interact as You Intend: Intention-Driven Human-Object Interaction Detection [PDF]
Bingjie Xu, Junnan Li, Yongkang Wong, Qi Zhao, Mohan Kankanhalli
IEEE Transactions on Multimedia (TMM)
- Towards a Marketplace for Secure Outsourced Computations [PDF]
Hung Dang, Dat Le Tien, Ee-Chien Chang
The European Symposium on Research in Computer Secuirty (ESORICS), 2019
- Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning [PDF]
Milad Nasr, Reza Shokri, Amir Houmansadr
IEEE Symposium on Security and Privacy (S&P) - Oakland, 2019
- Hierarchical Multi-view Aggregation Network for Sensor-based Human Activity Recognition [PDF]
Xiheng Zhang, Yongkang Wong, Mohan S Kankanhalli, Weidong Geng
PLoS ONE 14(9): e0221390
- Learning Controllable Face Generator from Disjoint Dataset [PDF]
Jing Li, Yongkang Wong, Terence Sim
The International Conference on Computer Analysis of Images and Patterns (CAIP), 2019
- Towards Robust ResNet: A Small Step but A Giant Leap [PDF]
Jingfeng Zhang, Han Bo, Laura Wynter, Kian Hsiang Low, Mohan Kankanhalli
International Joint Conference on Artificial Intelligence (IJCAI), 2019
- Unsupervised Online Video Object Segmentation With Motion Property Understanding [PDF]
Tao Zhuo, Zhiyong Cheng, Peng Zhang, Yongkang Wong, Mohan Kankanhalli
IEEE Transactions on Image Processing (TIP) Volume 29, July 2019, Pages 237 - 249
- Video Storytelling: Textual Summaries for Events [PDF]
Junnan Li, Yongkang Wong, Mohan Kankanhalli, Qi Zhao
IEEE Transactions on Multimedia (TMM) Volume 22 Issue 2, Feb 2020 Pages 554 - 565
- Misconducts in Organizations [PDF]
Jussi Keppo, Minglong Zhou, Esa Jokivuolle
20th INFORMS Applied Probability Society Conference, 2019
- Towards Scaling Blockchain Systems via Sharding [PDF]
Hung Dang, Anh Dinh, Dumitrel Loghin, Ee-Chien Chang, Qian Lin, Beng Chin Ooi
ACM SIGMOD/PODS International Conference on Management of Data, 2019
- Learning to Learn from Noisy Labeled Data [PDF]
Junnan Li, Yongkang Wong, Qi Zhao, Mohan Kankanhalli
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
- Learning to Detect Human-Object Interactions with Knowledge [PDF]
Bingjie Xu, Yongkang Wong, Junnan Li, Qi Zhao, Mohan Kankanhalli
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
- A Multi-sensor Framework for Personal Presentation Analytics [PDF]
Tian Gan, Junnan Li, Yongkang Wong, Mohan S. Kankanhalli
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) Volume 15 Issue 2, June 2019, Article No. 30
- Collective Model Fusion for Multiple Black-Box Experts [PDF]
Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low
International Conference on Machine Learning (ICML), 2019
- Sublinear Time Nearest Neighbor Search over Generalized Weighted Space [PDF]
Yifan Lei, Qiang Huang, Mohan Kankanhalli, Anthony Tung
International Conference on Machine Learning (ICML), 2019
- Membership Inference Attacks against Adversarially Robust Deep Learning Models [PDF]
Liwei Song, Reza Shokri, and Prateek Mittal
In the 2nd Deep Learning and Security Workshop, co-located with the IEEE Symposium on Security and Privacy 2019
- An Efficient Parallel Keyword Search Engine on Knowledge Graphs [PDF]
Yueji Yang, Divykant Agrawal, H.V. Jagadish, Anthony K.H. Tung, Shuang Wu
IEEE International Conference on Data Engineering (ICDE), 2019
- G-Softmax: Improving Intraclass Compactness and Interclass Separability of Features [PDF]
Yan Luo, Yongkang Wong, Mohan Kankanhalli, Qi Zhao
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) Volume 31 Issue 2 May 2019, Pages 685 - 699
- Designing Theory-Driven User-Centric Explainable AI [PDF]
Danding Wang, Qian Yang, Ashraf Abdul, Brian Y. Lim
ACM Conference on Human Factors in Computing Systems (CHI), 2019
- Collecting and Analyzing Multidimensional Data with Local Differential Privacy [PDF]
Ning Wang, Xiaokui Xiao, Yin Yang, Jun Zhao, Siu Cheung Hui, Hyejin Shin, Junbum Shin, and Ge Yu
Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2019
- Which Body is Mine? [PDF]
Mona Ragab Sayed, Terence Sim, Joo-Hwee Lim, Keng-Teck Ma
IEEE Winter Conference on Applications of Computer Vision (WACV), 2019
- Task Relation Networks [PDF]
Jianshu Li, Pan Zhou, Yunpeng Chen, Jian Zhao, Sujoy Roy, Shuicheng Yan, Jiashi Feng, Terence Sim
IEEE Winter Conference on Applications of Computer Vision (WACV), 2019
- Loss Guided Activation for Action Recognition in Still Images [PDF]
Lu Liu, Robby T. Tan, Shaodi You
Asian Conference on Computer Vision (ACCV), 2018
