Khang Tran

According to our database, Khang Tran authored at least 21 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Poison with Style: A Practical Poisoning Attack on Code Large Language Models.

Khang Tran, Yazan Boshmaf, Issa Khalil, NhatHai Phan, Ting Yu, Md. Rizwan Parvez

CoRR, May, 2026

Gradient Transformer: Learning to Generate Updates for LLMs.

Binh-Nguyen Nguyen, Khang Tran, NhatHai Phan, Issa Khalil

CoRR, May, 2026

Program Structure-aware Language Models: Targeted Software Testing beyond Textual Semantics.

Khang Tran, Khoa Nguyen, Cristian Borcea, NhatHai Phan

CoRR, April, 2026

NOIR: Privacy-Preserving Generation of Code with Open-Source LLMs.

Khoa Nguyen, Khiem Ton, NhatHai Phan, Issa Khalil, Khang Tran, Cristian Borcea, Ruoming Jin, Abdallah Khreishah, My T. Thai

CoRR, January, 2026

MELCOT: A Hybrid Learning Architecture with Marginal Preservation for Matrix-Valued Regression.

Khang Tran, Hieu Cao, Thinh Pham, Nghiem Diep, Tri Cao, Binh Nguyen

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

PRPO: Paragraph-level Policy Optimization for Vision-Language Deepfake Detection.

Tuan Nguyen, Naseem Khan, Khang Tran, NhatHai Phan, Issa Khalil

CoRR, September, 2025

MELCOT: A Hybrid Learning Architecture with Marginal Preservation for Matrix-Valued Regression.

Khang Tran, Hieu Cao, Thinh Pham, Nghiem Tuong Diep, Tri Cao, Binh T. Nguyen

CoRR, September, 2025

Sparse Partial Optimal Transport via Quadratic Regularization.

Khang Tran, Khoa Nguyen, Anh Nguyen, Thong Huynh, Son Pham, Sy-Hoang Nguyen-Dang, Manh Pham, Bang Vo, Mai Ngoc Tran, Dung Luong

CoRR, August, 2025

FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning.

Phung Lai, Xiaopeng Jiang, Hai Phan, Cristian Borcea, Khang Tran, An M. Chen, Vijaya Datta Mayyuri, Ruoming Jin

CoRR, April, 2025

LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models.

Ahmed Lekssays, Hamza Mouhcine, Khang Tran, Ting Yu, Issa Khalil

Proceedings of the 34th USENIX Security Symposium, 2025

FairDP: Achieving Fairness Certification with Differential Privacy.

Khang Tran, Ferdinando Fioretto, Issa Khalil, My T. Thai, Linh Thi Xuan Phan, NhatHai Phan

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025

SGFusion: Stochastic Geographic Gradient Fusion in Federated Learning.

Khoa Nguyen, Khang Tran, NhatHai Phan, Cristian Borcea, Ruoming Jin, Issa Khalil

Proceedings of the IEEE International Conference on Big Data, 2025

2024

CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation.

Huy Trinh, Khang Tran, Nam Nguyen, Tri Cao, Binh Nguyen

CoRR, 2024

Combining Adaptive Large Neighborhood Search with Guided Ejection Search for Real-World Multiple-Vehicle Pickup and Delivery Problem with Time Windows.

Tri Phan, Khang Tran, Ngoc Hoang Luong

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

FairDP: Certified Fairness with Differential Privacy.

Khang Tran, Ferdinando Fioretto, Issa Khalil, My T. Thai, NhatHai Phan

CoRR, 2023

Simulated Annealing with Dynamic Programming-based Vertex Insertion for Efficiently Solving the Traveling Thief Problem.

Hoang Nguyen, Nam Le, Khang Tran, Ngoc Hoang Luong

Proceedings of the 12th International Symposium on Information and Communication Technology, 2023

Active Membership Inference Attack under Local Differential Privacy in Federated Learning.

Truc D. T. Nguyen, Phung Lai, Khang Tran, NhatHai Phan, My T. Thai

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Combining Soft-Actor Critic with Cross-Entropy Method for Policy Search in Continuous Control.

Hieu Trung Nguyen, Khang Tran, Ngoc Hoang Luong

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks.

Khang Tran, Phung Lai, NhatHai Phan, Issa Khalil, Yao Ma, Abdallah Khreishah, My T. Thai, Xintao Wu

Proceedings of the IEEE International Conference on Big Data, 2022

2018

Towards Thermal Region of Interest for Human Emotion Estimation.

Thu Nguyen, Khang Tran, Hung Nguyen

Proceedings of the 10th International Conference on Knowledge and Systems Engineering, 2018

2009

Generating functions of Chebyshev-like polynomials

Alin Bostan, Bruno Salvy, Khang Tran

CoRR, 2009