Shiwei Feng

Orcid: 0000-0001-6959-4327

Affiliations:
  • Purdue University, Department of Computer Science, West Lafayette, IN, USA
  • Nanjing University, National Key Lab for Novel Software Technology, Nanjing, China (former)


According to our database1, Shiwei Feng authored at least 14 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
DIGIMON: Diagnosis and Mitigation of Sampling Skew for Reinforcement Learning based Meta-Planner in Robot Navigation.
CoRR, 2024

ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutation.
CoRR, 2024

Distribution Preserving Backdoor Attack in Self-supervised Learning.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Lotus: Evasive and Resilient Backdoor Attacks through Sub-Partitioning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
LmPa: Improving Decompilation by Synergy of Large Language Model and Program Analysis.
CoRR, 2023

Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving.
CoRR, 2023

PEM: Representing Binary Program Semantics for Similarity Analysis via a Probabilistic Execution Model.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense.
Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

Improving Binary Code Similarity Transformer Models by Semantics-Driven Instruction Deemphasis.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Detecting Backdoors in Pre-trained Encoders.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2020
Graph-to-Tree Neural Networks for Learning Structured Input-Output Translation with Applications to Semantic Parsing and Math Word Problem.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020


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