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2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)最新文献

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Model Stealing Defense with Hybrid Fuzzy Models: Work-in-Progress 基于混合模糊模型的模型窃取防御:尚在研究中
2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) Pub Date : 2020-09-20 DOI: 10.1109/CODESISSS51650.2020.9244031
Zicheng Gong, Wei Jiang, Jinyu Zhan, Ziwei Song
{"title":"Model Stealing Defense with Hybrid Fuzzy Models: Work-in-Progress","authors":"Zicheng Gong, Wei Jiang, Jinyu Zhan, Ziwei Song","doi":"10.1109/CODESISSS51650.2020.9244031","DOIUrl":"https://doi.org/10.1109/CODESISSS51650.2020.9244031","url":null,"abstract":"With increasing applications of Deep Neural Networks (DNNs) to edge computing systems, security issues have received more attentions. Particularly, model stealing attack is one of the biggest challenge to the privacy of models. To defend against model stealing attack, we propose a novel protection architecture with fuzzy models. Each fuzzy model is designed to generate wrong predictions corresponding to a particular category. In addition’ we design a special voting strategy to eliminate the systemic errors, which can destroy the dark knowledge in predictions at the same time. Preliminary experiments show that our method substantially decreases the clone model's accuracy (up to 20%) without loss of inference accuracy for benign users.","PeriodicalId":437802,"journal":{"name":"2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125879912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Proceedings of the 2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) 2020年硬件/软件协同设计与系统综合(CODES+ISSS)国际会议论文集
2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) Pub Date : 2020-09-20 DOI: 10.1109/CODESISSS51650.2020.9244033
T. Mitra, A. Gerstlauer
{"title":"Proceedings of the 2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)","authors":"T. Mitra, A. Gerstlauer","doi":"10.1109/CODESISSS51650.2020.9244033","DOIUrl":"https://doi.org/10.1109/CODESISSS51650.2020.9244033","url":null,"abstract":"Proceedings of the 2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)","PeriodicalId":437802,"journal":{"name":"2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128872567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
WiderFrame: An Automatic Customization Framework for Building CNN Accelerators on FPGAs: Work-in-Progress WiderFrame:在fpga上构建CNN加速器的自动定制框架:正在进行的工作
2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) Pub Date : 2020-09-20 DOI: 10.1109/CODESISSS51650.2020.9244024
Lei Gong, Chao Wang, Xi Li, Xuehai Zhou
{"title":"WiderFrame: An Automatic Customization Framework for Building CNN Accelerators on FPGAs: Work-in-Progress","authors":"Lei Gong, Chao Wang, Xi Li, Xuehai Zhou","doi":"10.1109/CODESISSS51650.2020.9244024","DOIUrl":"https://doi.org/10.1109/CODESISSS51650.2020.9244024","url":null,"abstract":"Hardware acceleration based on FPGA has been an important means to improve the computational efficiency of CNNs. However, due to the increasing complexity of the modern CNNs and the diversity of neural computing engines, it is challenging to make full use of FPGAs' customizability for efficient and fast accelerator designs. This paper proposes Wider-Frame, an automatic customization framework for building CNN accelerators on FPGA. Towards fully exploiting the customiz-ability of FPGA for specific computing scenarios, WiderFrame integrates a systematical design space exploration methodology considered with different parallel and data reuse manners among various neural computing engines, a parameterized configurable code template with a set of macro instruction mechanism, for automatically generating the underlying hardware units and the control flow. Evaluation results show that WiderFrame can well support more CNN types, and can improve the performance and the energy efficiency up to 1.25 x and 1.68 x compared with state-of-the-art frameworks.","PeriodicalId":437802,"journal":{"name":"2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129564890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Layering the monitoring action for improved flexibility and overhead control: work-in-progress 分层监视操作以提高灵活性和开销控制:正在进行的工作
2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) Pub Date : 2020-09-20 DOI: 10.1109/CODESISSS51650.2020.9244018
G. Valente, Tiziana Fanni, Carlo Sau, F. Battista
{"title":"Layering the monitoring action for improved flexibility and overhead control: work-in-progress","authors":"G. Valente, Tiziana Fanni, Carlo Sau, F. Battista","doi":"10.1109/CODESISSS51650.2020.9244018","DOIUrl":"https://doi.org/10.1109/CODESISSS51650.2020.9244018","url":null,"abstract":"With the diffusion of complex heterogeneous platforms and their need of characterization, monitoring the system gained increasing interest. This work proposes a framework to build custom and modular monitoring systems, flexible enough to face the heterogeneity of modern platforms, offering a predictable HW/SW impact.","PeriodicalId":437802,"journal":{"name":"2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125112972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Work-in-Progress: Enabling Edge-based Self-Navigation in Earthquake-Struck Zones 正在进行的工作:在地震灾区实现基于边缘的自我导航
2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) Pub Date : 2020-09-20 DOI: 10.1109/CODESISSS51650.2020.9244030
R. Zelek, Vignesh K. Venkateshwar, Sai K. Duggineni, R. Dighe, Hyeran Jeon
{"title":"Work-in-Progress: Enabling Edge-based Self-Navigation in Earthquake-Struck Zones","authors":"R. Zelek, Vignesh K. Venkateshwar, Sai K. Duggineni, R. Dighe, Hyeran Jeon","doi":"10.1109/CODESISSS51650.2020.9244030","DOIUrl":"https://doi.org/10.1109/CODESISSS51650.2020.9244030","url":null,"abstract":"The role of unmanned vehicles for searching and localizing the victims in disaster impacted areas such as earthquake-struck zones is getting more important. Self-navigation on an earthquake zone has a unique challenge of detecting irregularly shaped obstacles such as cracks, puddles, and debris on the streets. In this paper, we present an edge-based self-navigation vehicle that can detect unique obstacles in earthquake-struck sites and discuss the performance and energy impact of various neural network structures, edge platforms, and optimizations. To enable vehicles to safely navigate earthquake-struck sites, we compiled a new image database of various earthquake impacted regions and developed semantic segmentation models that identify obstacles unique to earthquake-sites. The models are tested on an edge-based car platform. To our best knowledge, this is the first study that identifies unique challenges and discusses the performance and energy impact of edge-based self-navigation vehicles for earthquake-struck zones.","PeriodicalId":437802,"journal":{"name":"2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122756607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Accelerating Queries of MongoDB by an FPGA-based Storage Engine: Work-in-Progress 基于fpga的存储引擎加速MongoDB的查询:正在进行中
2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) Pub Date : 2020-09-20 DOI: 10.1109/CODESISSS51650.2020.9244028
Jinyu Zhan, Junting Wu, Wei Jiang, Ying Li, Jianping Zhu
{"title":"Accelerating Queries of MongoDB by an FPGA-based Storage Engine: Work-in-Progress","authors":"Jinyu Zhan, Junting Wu, Wei Jiang, Ying Li, Jianping Zhu","doi":"10.1109/CODESISSS51650.2020.9244028","DOIUrl":"https://doi.org/10.1109/CODESISSS51650.2020.9244028","url":null,"abstract":"In this paper, we propose a storage engine for MongoDB to accelerate the queries and reduce the memory usage. An FPGA-based query accelerator is deployed to speed up the queries while hot data is migrated from memory to SSD to reduce memory occupancy by our storage engine. Moreover, multiple query tasks of MongoDB are performed in parallel and query conditions are parameterized to support diversified queries. Based on TPC- H benchmark and Tencent data set, experimental results demonstrate that our storage engine can achieve higher query efficiency (saving up to 63.5 % time overhead) and lower memory occupancy (reducing up to 73.4 % memory usage) compared with traditional MongoDB.","PeriodicalId":437802,"journal":{"name":"2020 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125183437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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