27 citations · 45 across the 12 of their papers we have counts for
14 papers
OSR: Output Space Redistribution for Adaptive Label Removal in Classification Models
Minyi Peng, Darian Gunamardi, Ivan Tjuawinata +2
Label removal occurs frequently in classification systems with evolving taxonomies, where categories must be dynamically updated or eliminated. To accommodate such changes, classif…
A Systematic Framework for Tabular Data Disentanglement
Ivan Tjuawinata, Andre Gunawan, Anh Quan Tran +6
Tabular data, widely used in various applications such as industrial control systems, finance, and supply chain, often contains complex interrelationships among its attributes. Dat…
MPRU: Modular Projection-Redistribution Unlearning as Output Filter for Classification Pipelines
Minyi Peng, Darian Gunamardi, Ivan Tjuawinata +1
As a new and promising approach, existing machine unlearning (MU) works typically emphasize theoretical formulations or optimization objectives to achieve knowledge removal. Howeve…
A Failure-Free and Efficient Discrete Laplace Distribution for Differential Privacy in MPC
Ivan Tjuawinata, Jiabo Wang, Mengmeng Yang +3
In an MPC-protected distributed computation, although the use of MPC assures data privacy during computation, sensitive information may still be inferred by curious MPC participant…
Privacy-Preserving Federated Unlearning with Certified Client Removal
Ziyao Liu, Huanyi Ye, Yu Jiang +4
In recent years, Federated Unlearning (FU) has gained attention for addressing the removal of a client's influence from the global model in Federated Learning (FL) systems, thereby…
Explicit Construction of q-ary 2-deletion Correcting Codes with Low Redundancy
Shu Liu, Ivan Tjuawinata, Chaoping Xing
We consider the problem of efficient construction of q-ary 2-deletion correcting codes with low redundancy. We show that our construction requires less redundancy than any existing…
A Lower Bound on the List-Decodability of Insdel Codes
Shu Liu, Ivan Tjuawinata, Chaoping Xing
For codes equipped with metrics such as Hamming metric, symbol pair metric or cover metric, the Johnson bound guarantees list-decodability of such codes. That is, the Johnson bound…
Leakage-Resilient Secret Sharing with Constant Share Size
Ivan Tjuawinata, Chaoping Xing
We consider the leakage resilience of AG code-based ramp secret sharing schemes extending the leakage resilience of linear threshold secret sharing schemes over prime fields done b…
Fair and Differentially Private Distributed Frequency Estimation
Mengmeng Yang, Ivan Tjuawinata, Kwok-Yan Lam +2
In order to remain competitive, Internet companies collect and analyse user data for the purpose of improving user experiences. Frequency estimation is a widely used statistical to…
Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation
Jenn-Bing Ong, Wee-Keong Ng, Ivan Tjuawinata +6
Data privacy is an important issue for organizations and enterprises to securely outsource data storage, sharing, and computation on clouds / fogs. However, data encryption is comp…
Secure Hot Path Crowdsourcing with Local Differential Privacy under Fog Computing Architecture
Mengmeng Yang, Ivan Tjuawinata, Kwok Yan Lam +2
Crowdsourcing plays an essential role in the Internet of Things (IoT) for data collection, where a group of workers is equipped with Internet-connected geolocated devices to collec…
MPC-enabled Privacy-Preserving Neural Network Training against Malicious Attack
Ziyao Liu, Ivan Tjuawinata, Chaoping Xing +1
The application of secure multiparty computation (MPC) in machine learning, especially privacy-preserving neural network training, has attracted tremendous attention from the resea…
Explicit Constructions of Two-Dimensional Reed-Solomon Codes in High Insertion and Deletion Noise Regime
Tai Do Duc, Shu Liu, Ivan Tjuawinata +1
Insertion and deletion (insdel for short) errors are synchronization errors in communication systems caused by the loss of positional information in the message. Reed-Solomon codes…
On List Decoding of Insertion and Deletion Errors
Shu Liu, Ivan Tjuawinata, Chaoping Xing
Insdel errors occur in communication systems caused by the loss of positional information of the message. Since the work by Guruswami and Wang, there have been some further investi…