Qi Pang

Orcid: 0000-0001-7747-0332

According to our database1, Qi Pang authored at least 27 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Provably Valid and Diverse Mutations of Real-World Media Data for DNN Testing.
IEEE Trans. Software Eng., May, 2024

Metamorphic Testing of Secure Multi-party Computation (MPC) Compilers.
Proc. ACM Softw. Eng., 2024

Attacking LLM Watermarks by Exploiting Their Strengths.
CoRR, 2024

MPCDiff: Testing and Repairing MPC-Hardened Deep Learning Models.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

2023
BOLT: Privacy-Preserving, Accurate and Efficient Inference for Transformers.
IACR Cryptol. ePrint Arch., 2023

Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Secure Federated Correlation Test and Entropy Estimation.
Proceedings of the International Conference on Machine Learning, 2023

Byzantine-Robust Federated Learning with Optimal Statistical Rates.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Detecting and Repairing Deviated Outputs of Compressed Models.
Proceedings of the Asian Conference on Machine Learning, 2023

2022
NoLeaks: Differentially Private Causal Discovery Under Functional Causal Model.
IEEE Trans. Inf. Forensics Secur., 2022

Metamorphic Testing of Deep Learning Compilers.
Proc. ACM Meas. Anal. Comput. Syst., 2022

Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees.
CoRR, 2022

ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems.
CoRR, 2022

Real-time defects detection for apple sorting using NIR cameras with pruning-based YOLOV4 network.
Comput. Electron. Agric., 2022

Automated Side Channel Analysis of Media Software with Manifold Learning.
Proceedings of the 31st USENIX Security Symposium, 2022

PrivGuard: Privacy Regulation Compliance Made Easier.
Proceedings of the 31st USENIX Security Symposium, 2022

Unveiling Hidden DNN Defects with Decision-Based Metamorphic Testing.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

MDPFuzz: testing models solving Markov decision processes.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

2021
MDPFuzzer: Finding Crash-Triggering State Sequences in Models Solving the Markov Decision Process.
CoRR, 2021

Enhancing Deep Neural Networks Testing by Traversing Data Manifold.
CoRR, 2021

You Can't See the Forest for Its Trees: Assessing Deep Neural Network Testing via NeuraL Coverage.
CoRR, 2021

FED-χ<sub>2</sub>: Privacy Preserving Federated Correlation Test.
CoRR, 2021

mID: Tracing Screen Photos via Moiré Patterns.
Proceedings of the 30th USENIX Security Symposium, 2021

2020
F2ED-Learning: Good Fences Make Good Neighbors.
CoRR, 2020

Towards practical differentially private causal graph discovery.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2016
Probabilistic linguistic term sets in multi-attribute group decision making.
Inf. Sci., 2016

2009
Staffing a Pandemic Urgent Care Facility during an Outbreak of Pandemic Influenza.
Proceedings of the 2009 Winter Simulation Conference, 2009


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