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2020 – today
- 2024
[j13]Wei Huang
, Yifan Zhou, Gaojie Jin, Youcheng Sun, Jie Meng, Fan Zhang, Xiaowei Huang:
Formal verification of robustness and resilience of learning-enabled state estimation systems. Neurocomputing 585: 127643 (2024)- [c42]Iqra Zahid, Tharindu Madusanka, Riza Batista-Navarro, Youcheng Sun:
Probing the Uniquely Identifiable Linguistic Patterns of Conversational AI Agents. ACL (Findings) 2024: 4612-4628 - [c41]Iqra Zahid, Yue Chang, Tharindu Madusanka, Youcheng Sun, Riza Batista-Navarro:
Multi-Loss Fusion: Angular and Contrastive Integration for Machine-Generated Text Detection. EMNLP (Findings) 2024: 7189-7202 - [c40]Jianan Ma, Pengfei Yang, Jingyi Wang, Youcheng Sun, Cheng-Chao Huang, Zhen Wang:
VeRe: Verification Guided Synthesis for Repairing Deep Neural Networks. ICSE 2024: 8:1-8:13 - [c39]Jialuo Chen, Jingyi Wang, Youcheng Sun, Peng Cheng, Jiming Chen:
Isolation-Based Debugging for Neural Networks. ISSTA 2024: 338-349 - [c38]Zuohui Chen, Jun Zhou, Youcheng Sun, Jingyi Wang, Qi Xuan, Xiaoniu Yang:
Interpretability Based Neural Network Repair. ISSTA 2024: 908-919 - [c37]Bruno Farias, Rafael Menezes, Eddie B. de Lima Filho, Youcheng Sun, Lucas C. Cordeiro:
ESBMC-Python: A Bounded Model Checker for Python Programs. ISSTA 2024: 1836-1840 - [c36]Taohong Zhu, William Newton, Suzanne M. Embury, Youcheng Sun:
TAIiST CPS-UAV at the SBFT Tool Competition 2024. SBFT@ICSE 2024: 51-52 - [i31]Haonan Zhang, Dongxia Wang, Zhu Sun, Yanhui Li, Youcheng Sun, Huizhi Liang, Wenhai Wang:
Does Knowledge Graph Really Matter for Recommender Systems? CoRR abs/2404.03164 (2024) - [i30]Ruichang Zhang, Youcheng Sun, Mustafa A. Mustafa:
Proactive Load-Shaping Strategies with Privacy-Cost Trade-offs in Residential Households based on Deep Reinforcement Learning. CoRR abs/2405.18888 (2024) - [i29]Bruno Farias, Rafael Menezes, Eddie B. de Lima Filho, Youcheng Sun, Lucas C. Cordeiro:
ESBMC-Python: A Bounded Model Checker for Python Programs. CoRR abs/2407.03472 (2024) - [i28]Adrians Skapars, Edoardo Manino, Youcheng Sun, Lucas C. Cordeiro:
Was it Slander? Towards Exact Inversion of Generative Language Models. CoRR abs/2407.11059 (2024) - [i27]Jialuo Chen, Jingyi Wang, Xiyue Zhang, Youcheng Sun, Marta Kwiatkowska, Jiming Chen, Peng Cheng:
FAST: Boosting Uncertainty-based Test Prioritization Methods for Neural Networks via Feature Selection. CoRR abs/2409.09130 (2024) - 2023
- [j12]Sebastian Altmeyer, Étienne André, Silvano Dal-Zilio, Loïc Fejoz, Michael González Harbour, Susanne Graf, J. Javier Gutiérrez, Rafik Henia, Didier Le Botlan, Giuseppe Lipari, Julio L. Medina, Nicolas Navet, Sophie Quinton, Juan Maria Rivas, Youcheng Sun:
From FMTV to WATERS: Lessons Learned from the First Verification Challenge at ECRTS (Artifact). Dagstuhl Artifacts Ser. 9(1): 04:1-04:6 (2023) - [j11]Muhammad Usman, Youcheng Sun, Divya Gopinath, Rishi Dange, Luca Manolache, Corina S. Pasareanu:
An overview of structural coverage metrics for testing neural networks. Int. J. Softw. Tools Technol. Transf. 25(3): 393-405 (2023) - [j10]Jialuo Chen, Jingyi Wang, Xingjun Ma, Youcheng Sun, Jun Sun, Peixin Zhang, Peng Cheng:
QuoTe: Quality-oriented Testing for Deep Learning Systems. ACM Trans. Softw. Eng. Methodol. 32(5): 125:1-125:33 (2023) - [c35]Sebastian Altmeyer, Étienne André, Silvano Dal-Zilio, Loïc Fejoz, Michael González Harbour, Susanne Graf, J. Javier Gutiérrez, Rafik Henia, Didier Le Botlan, Giuseppe Lipari, Julio L. Medina, Nicolas Navet, Sophie Quinton, Juan Maria Rivas, Youcheng Sun:
From FMTV to WATERS: Lessons Learned from the First Verification Challenge at ECRTS (Invited Paper). ECRTS 2023: 19:1-19:18 - [c34]Jialuo Chen, Youcheng Sun, Jingyi Wang, Peng Cheng, Xingjun Ma:
DEEPJUDGE: A Testing Framework for Copyright Protection of Deep Learning Models. ICSE Companion 2023: 64-67 - [c33]Xidan Song, Youcheng Sun, Mustafa A. Mustafa, Lucas C. Cordeiro:
AIREPAIR: A Repair Platform for Neural Networks. ICSE Companion 2023: 98-101 - [c32]Muhammad Usman, Youcheng Sun, Divya Gopinath, Corina S. Pasareanu:
Rule-Based Testing of Neural Networks. SE4SafeML@SIGSOFT FSE 2023: 1-5 - [c31]Xidan Song, Youcheng Sun, Mustafa A. Mustafa, Lucas C. Cordeiro:
QNNRepair: Quantized Neural Network Repair. SEFM 2023: 320-339 - [d1]Yiannis Charalambous, Norbert Tihanyi, Ridhi Jain, Youcheng Sun, Mohamed Amine Ferrag, Lucas C. Cordeiro:
Dataset for : A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification. Zenodo, 2023
- [i26]Yiannis Charalambous, Norbert Tihanyi, Ridhi Jain, Youcheng Sun, Mohamed Amine Ferrag, Lucas C. Cordeiro:
A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification. CoRR abs/2305.14752 (2023) - [i25]Xidan Song, Youcheng Sun, Mustafa A. Mustafa, Lucas C. Cordeiro:
QNNRepair: Quantized Neural Network Repair. CoRR abs/2306.13793 (2023) - 2022
- [j9]Wei Huang, Youcheng Sun, Xingyu Zhao, James Sharp, Wenjie Ruan, Jie Meng, Xiaowei Huang:
Coverage-Guided Testing for Recurrent Neural Networks. IEEE Trans. Reliab. 71(3): 1191-1206 (2022) - [c30]Youcheng Sun, Muhammad Usman, Divya Gopinath, Corina S. Pasareanu:
VPN: Verification of Poisoning in Neural Networks. NSV/FoMLAS@CAV 2022: 3-14 - [c29]Renjue Li, Pengfei Yang, Cheng-Chao Huang, Youcheng Sun, Bai Xue, Lijun Zhang:
Towards Practical Robustness Analysis for DNNs based on PAC-Model Learning. ICSE 2022: 2189-2201 - [c28]Muhammad Usman, Divya Gopinath, Youcheng Sun, Corina S. Pasareanu:
Rule-Based Runtime Mitigation Against Poison Attacks on Neural Networks. RV 2022: 67-84 - [c27]Jialuo Chen, Jingyi Wang, Tinglan Peng, Youcheng Sun, Peng Cheng, Shouling Ji, Xingjun Ma, Bo Li, Dawn Song:
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models. SP 2022: 824-841 - [i24]Muhammad Usman, Youcheng Sun, Divya Gopinath, Corina S. Pasareanu:
AntidoteRT: Run-time Detection and Correction of Poison Attacks on Neural Networks. CoRR abs/2202.01179 (2022) - [i23]Youcheng Sun, Muhammad Usman, Divya Gopinath, Corina S. Pasareanu:
VPN: Verification of Poisoning in Neural Networks. CoRR abs/2205.03894 (2022) - [i22]Xiangshan Gao, Xingjun Ma, Jingyi Wang, Youcheng Sun, Bo Li, Shouling Ji, Peng Cheng, Jiming Chen:
VeriFi: Towards Verifiable Federated Unlearning. CoRR abs/2205.12709 (2022) - [i21]Muhammad Usman, Youcheng Sun, Divya Gopinath, Rishi Dange, Luca Manolache, Corina S. Pasareanu:
An Overview of Structural Coverage Metrics for Testing Neural Networks. CoRR abs/2208.03407 (2022) - [i20]Renjue Li, Tianhang Qin, Pengfei Yang, Cheng-Chao Huang, Youcheng Sun, Lijun Zhang:
Safety Analysis of Autonomous Driving Systems Based on Model Learning. CoRR abs/2211.12733 (2022) - [i19]Xidan Song, Youcheng Sun, Mustafa A. Mustafa, Lucas C. Cordeiro:
AIREPAIR: A Repair Platform for Neural Networks. CoRR abs/2211.15387 (2022) - 2021
- [j8]Paolo Pazzaglia, Youcheng Sun, Marco Di Natale:
Generalized Weakly Hard Schedulability Analysis for Real-Time Periodic Tasks. ACM Trans. Embed. Comput. Syst. 20(1): 3:1-3:26 (2021) - [c26]Muhammad Usman, Divya Gopinath, Youcheng Sun, Yannic Noller, Corina S. Pasareanu:
NNrepair: Constraint-Based Repair of Neural Network Classifiers. CAV (1) 2021: 3-25 - [c25]Hana Chockler, Daniel Kroening, Youcheng Sun:
Explanations for Occluded Images. ICCV 2021: 1214-1223 - [c24]Muhammad Usman, Yannic Noller, Corina S. Pasareanu, Youcheng Sun, Divya Gopinath:
NEUROSPF: A Tool for the Symbolic Analysis of Neural Networks. ICSE (Companion Volume) 2021: 25-28 - [c23]Jingyi Wang, Jialuo Chen, Youcheng Sun, Xingjun Ma, Dongxia Wang, Jun Sun, Peng Cheng:
RobOT: Robustness-Oriented Testing for Deep Learning Systems. ICSE 2021: 300-311 - [c22]Hadrien Pouget, Hana Chockler, Youcheng Sun, Daniel Kroening:
Ranking Policy Decisions. NeurIPS 2021: 8702-8713 - [i18]Jingyi Wang, Jialuo Chen, Youcheng Sun, Xingjun Ma, Dongxia Wang, Jun Sun, Peng Cheng:
RobOT: Robustness-Oriented Testing for Deep Learning Systems. CoRR abs/2102.05913 (2021) - [i17]Muhammad Usman, Yannic Noller, Corina S. Pasareanu, Youcheng Sun, Divya Gopinath:
NEUROSPF: A tool for the Symbolic Analysis of Neural Networks. CoRR abs/2103.00124 (2021) - [i16]Hana Chockler, Daniel Kroening, Youcheng Sun:
Compositional Explanations for Image Classifiers. CoRR abs/2103.03622 (2021) - [i15]Muhammad Usman, Divya Gopinath, Youcheng Sun, Yannic Noller, Corina S. Pasareanu:
NNrepair: Constraint-based Repair of Neural Network Classifiers. CoRR abs/2103.12535 (2021) - [i14]Nicolas Berthier, Youcheng Sun, Wei Huang, Yanghao Zhang, Wenjie Ruan, Xiaowei Huang:
Tutorials on Testing Neural Networks. CoRR abs/2108.01734 (2021) - [i13]Jialuo Chen, Jingyi Wang, Tinglan Peng, Youcheng Sun, Peng Cheng, Shouling Ji, Xingjun Ma, Bo Li, Dawn Song:
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models. CoRR abs/2112.05588 (2021) - 2020
- [j7]Xiaowei Huang, Daniel Kroening, Wenjie Ruan, James Sharp, Youcheng Sun, Emese Thamo, Min Wu, Xinping Yi:
A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability. Comput. Sci. Rev. 37: 100270 (2020) - [c21]Youcheng Sun, Hana Chockler, Xiaowei Huang, Daniel Kroening:
Explaining Image Classifiers Using Statistical Fault Localization. ECCV (28) 2020: 391-406 - [c20]Youcheng Sun, Yifan Zhou, Simon Maskell, James Sharp, Xiaowei Huang:
Reliability Validation of Learning Enabled Vehicle Tracking. ICRA 2020: 9390-9396 - [c19]Yannic Noller, Corina S. Pasareanu, Marcel Böhme, Youcheng Sun, Hoang Lam Nguyen, Lars Grunske:
HyDiff: hybrid differential software analysis. ICSE 2020: 1273-1285 - [c18]Wei Huang, Yifan Zhou, Youcheng Sun, James Sharp, Simon Maskell, Xiaowei Huang:
Practical Verification of Neural Network Enabled State Estimation System for Robotics. IROS 2020: 7336-7343 - [i12]Youcheng Sun, Yifan Zhou, Simon Maskell, James Sharp, Xiaowei Huang:
Reliability Validation of Learning Enabled Vehicle Tracking. CoRR abs/2002.02424 (2020) - [i11]Hadrien Pouget, Hana Chockler, Youcheng Sun, Daniel Kroening:
Ranking Policy Decisions. CoRR abs/2008.13607 (2020) - [i10]Wei Huang, Yifan Zhou, Youcheng Sun, Alec Banks, Jie Meng, James Sharp, Simon Maskell, Xiaowei Huang:
Formal Verification of Robustness and Resilience of Learning-Enabled State Estimation Systems for Robotics. CoRR abs/2010.08311 (2020)
2010 – 2019
- 2019
- [j6]Youcheng Sun, Marco Di Natale:
Pessimism in multicore global schedulability analysis. J. Syst. Archit. 97: 142-152 (2019) - [j5]Zaid Al-bayati, Youcheng Sun, Haibo Zeng, Marco Di Natale, Qi Zhu, Brett H. Meyer:
Partitioning and Selection of Data Consistency Mechanisms for Multicore Real-Time Systems. ACM Trans. Embed. Comput. Syst. 18(4): 35:1-35:28 (2019) - [j4]Youcheng Sun, Xiaowei Huang, Daniel Kroening, James Sharp, Matthew Hill, Rob Ashmore:
Structural Test Coverage Criteria for Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 18(5s): 94:1-94:23 (2019) - [c17]Youcheng Sun, Xiaowei Huang, Daniel Kroening, James Sharp, Matthew Hill, Rob Ashmore:
DeepConcolic: testing and debugging deep neural networks. ICSE (Companion Volume) 2019: 111-114 - [c16]Youcheng Sun, Xiaowei Huang, Daniel Kroening, James Sharp, Matthew Hill, Rob Ashmore:
Structural test coverage criteria for deep neural networks. ICSE (Companion Volume) 2019: 320-321 - [c15]Wenjie Ruan, Min Wu, Youcheng Sun, Xiaowei Huang, Daniel Kroening, Marta Kwiatkowska:
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance. IJCAI 2019: 5944-5952 - [c14]Martin Brain, Florian Schanda, Youcheng Sun:
Building Better Bit-Blasting for Floating-Point Problems. TACAS (1) 2019: 79-98 - [i9]Wei Huang, Youcheng Sun, Xiaowei Huang, James Sharp:
testRNN: Coverage-guided Testing on Recurrent Neural Networks. CoRR abs/1906.08557 (2019) - [i8]Youcheng Sun, Hana Chockler, Xiaowei Huang, Daniel Kroening:
Explaining Deep Neural Networks Using Spectrum-Based Fault Localization. CoRR abs/1908.02374 (2019) - [i7]Wei Huang, Youcheng Sun, James Sharp, Xiaowei Huang:
Test Metrics for Recurrent Neural Networks. CoRR abs/1911.01952 (2019) - 2018
- [j3]Alessandro Biondi, Youcheng Sun:
On the ineffectiveness of 1/m-based interference bounds in the analysis of global EDF and FIFO scheduling. Real Time Syst. 54(3): 515-536 (2018) - [c13]David Landsberg, Youcheng Sun, Daniel Kroening:
Optimising Spectrum Based Fault Localisation for Single Fault Programs Using Specifications. FASE 2018: 246-263 - [c12]Youcheng Sun, Min Wu, Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska, Daniel Kroening:
Concolic testing for deep neural networks. ASE 2018: 109-119 - [c11]Youcheng Sun, Marco Di Natale:
Assessing the pessimism of current multicore global fixed-priority schedulability analysis. SAC 2018: 575-583 - [i6]Youcheng Sun, Xiaowei Huang, Daniel Kroening:
Testing Deep Neural Networks. CoRR abs/1803.04792 (2018) - [i5]Wenjie Ruan, Min Wu, Youcheng Sun, Xiaowei Huang, Daniel Kroening, Marta Kwiatkowska:
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for L0 Norm. CoRR abs/1804.05805 (2018) - [i4]Youcheng Sun, Min Wu, Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska, Daniel Kroening:
Concolic Testing for Deep Neural Networks. CoRR abs/1805.00089 (2018) - 2017
- [j2]Youcheng Sun, Marco Di Natale:
Weakly Hard Schedulability Analysis for Fixed Priority Scheduling of Periodic Real-Time Tasks. ACM Trans. Embed. Comput. Syst. 16(5s): 171:1-171:19 (2017) - [c10]Youcheng Sun, Martin Brain, Daniel Kroening, Andrew Hawthorn, Thomas Wilson, Florian Schanda, Francisco Javier Guzman Jimenez, Simon Daniel, Chris Bryan, Ian Broster:
Functional Requirements-Based Automated Testing for Avionics. ICECCS 2017: 170-173 - [i3]Youcheng Sun, Martin Brain, Daniel Kroening, Andrew Hawthorn, Thomas Wilson, Florian Schanda, Francisco Javier Guzman Jimenez, Simon Daniel, Chris Bryan, Ian Broster:
Functional Requirements-Based Automated Testing for Avionics. CoRR abs/1707.01466 (2017) - 2016
- [j1]Youcheng Sun, Giuseppe Lipari:
A pre-order relation for exact schedulability test of sporadic tasks on multiprocessor Global Fixed-Priority scheduling. Real Time Syst. 52(3): 323-355 (2016) - [c9]Luca Abeni, Giuseppe Lipari, Andrea Parri, Youcheng Sun:
Multicore CPU reclaiming: parallel or sequential? SAC 2016: 1877-1884 - 2015
- [c8]Étienne André, Giuseppe Lipari, Hoang Gia Nguyen, Youcheng Sun:
Reachability Preservation Based Parameter Synthesis for Timed Automata. NFM 2015: 50-65 - [c7]Zaid Al-bayati, Youcheng Sun, Haibo Zeng, Marco Di Natale, Qi Zhu, Brett H. Meyer:
Task placement and selection of data consistency mechanisms for real-time multicore applications. RTAS 2015: 172-181 - [c6]Youcheng Sun, Giuseppe Lipari:
Response Time Analysis with Limited Carry-In for Global Earliest Deadline First Scheduling. RTSS 2015: 130-140 - [i2]Luca Abeni, Giuseppe Lipari, Andrea Parri, Youcheng Sun:
Parallel and sequential reclaiming in multicore real-time global scheduling. CoRR abs/1512.01984 (2015) - 2014
- [c5]Youcheng Sun, Giuseppe Lipari, Nan Guan, Wang Yi:
Improving the response time analysis of global fixed-priority multiprocessor scheduling. RTCSA 2014: 1-9 - [c4]Youcheng Sun, Giuseppe Lipari, Romain Soulat, Laurent Fribourg, Nicolas Markey:
Component-based analysis of hierarchical scheduling using linear hybrid automata. RTCSA 2014: 1-10 - [c3]Youcheng Sun, Giuseppe Lipari:
A Weak Simulation Relation for Real-Time Schedulability Analysis of Global Fixed Priority Scheduling Using Linear Hybrid Automata. RTNS 2014: 35 - [c2]Youcheng Sun, Giuseppe Lipari, Étienne André, Laurent Fribourg:
Toward Parametric Timed Interfaces for Real-Time Components. SynCoP 2014: 49-64 - 2013
- [c1]Youcheng Sun, Romain Soulat, Giuseppe Lipari, Étienne André, Laurent Fribourg:
Parametric Schedulability Analysis of Fixed Priority Real-Time Distributed Systems. FTSCS 2013: 212-228 - [i1]Youcheng Sun, Romain Soulat, Giuseppe Lipari, Étienne André, Laurent Fribourg:
Parametric Schedulability Analysis of Fixed Priority Real-Time Distributed Systems. CoRR abs/1302.1306 (2013)
Coauthor Index
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