Cloudleak: large-scale deep learning models

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August undefined, 2024

WebPrevious backdoor attacks predominantly focus on computer vision (CV) applications, such as image classification. In this paper, we perform a systematic investigation of backdoor … WebSep 25, 2024 · Deep learning models have been deployed in more and more fields, such as computer vision, natural language processing, and speech recognition, for their amazing ability to solve various challenging classification problems. ... Zhang, T., Tsai, Y., Ho, T., Jin, Y.: CloudLeak: large-scale deep learning models stealing through adversarial …

SEAT: Similarity Encoder by Adversarial Training for Detecting Model ...

WebDec 31, 2024 · Open Access Cloud-based Machine Learning as a Service (MLaaS) is gradually gaining acceptance as a reliable solution to various real-life scenarios. These services typically utilize Deep Neural Networks (DNNs) to perform classification and detection tasks and are accessed through Application Programming Interfaces (APIs). … WebSep 24, 2024 · Deep learning (DL) models empower many commercial applications and are potentially worth millions of dollars [3, 12, 19].Until now, most model architectures and topology have been publicly available, but as models become larger-scale, the increased training cost and difficulty drive companies to prohibit the competitors from creating a … eras 2023 participating programs

NDSS 2024 CloudLeak: Large-Scale Deep Learning …

WebTsung-Yi Ho. IEEE Transactions on Computer-Aided Design of Integrated Circuits and …. CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial … WebJournal of Machine Learning Research, 2014, 15(1): 749-808. ... CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples, Honggang Yu, Kaichen Yang, Teng Zhang, Yun-Yun Tsai, Tsung-Yi Ho, Yier Jin, Network and Distributed System Security Symposium (NDSS) 2024. WebNov 4, 2024 · In this work, for the first time, we study the model stealing attacks on the deep neural networks running in the mobile devices, by interacting with mobile applications. Our experimental results ... eras aamc statistics

SEAT: Similarity Encoder by Adversarial Training for Detecting …

CloudLeak: Large-Scale Deep Learning Models Stealing Through Advers…

Web"WebShield: Enabling Various Web Defense Techniques without Client Side Modifications" Yi Tang, Bin Liu, ... -- NDSS 2011 "Ghost Domain Names: Revoked Yet Still Resolvable" WebMar 17, 2024 · 论文标题：CloudLeak：Large-Scale Deep Learning Models Stealing Through Adversarial Examples 会议：Network and Distributed Systems Security (NDSS) … findlay hearing aid centerWeb•Our attack framework can steal large-scale deep learning models with high accuracy, few queries and low costs simultaneously. •The same trend appears while we use … findlay hearing center oh

"WebFederated learning is good for building better cooperative intelligent transportation system (C-ITS). Intellectual property protection in C-ITS brings many benefits to all vehicles. Although the protection of model intellectual property by watermark has received much research attention, the existing works only deploy watermark in centralized ... " - Cloudleak: large-scale deep learning models

Cloudleak: large-scale deep learning models

SEAT: Similarity Encoder by Adversarial Training for Detecting Model ...

WebCloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples. Network and Distributed…. Cloud-based Machine Learning as a Service (MLaaS) is … WebCloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples. Citing conference paper. Jan 2024; Honggang Yu; Kaichen Yang; Teng Zhang; Yun-Yun Tsai; Yier Jin; View. Top co ...

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WebCloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples. H Yu, K Yang, T Zhang, YY Tsai, TY Ho, Y Jin. NDSS ... Spectral clustering based on local PCA. E Arias-Castro, G Lerman, T Zhang. The Journal of Machine Learning Research 18 (1), 253-309, 2024. 91: 2024: Multivariate generalized Gaussian distribution: Convexity ... WebHonggang Yu, Kaichen Yang, Teng Zhang, Yun-Yun Tsai, Tsung-Yi Ho, and Yier Jin. 2024. CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples.. In NDSS. Google Scholar; Santiago Zanella-Beguelin, Shruti Tople, Andrew Paverd, and Boris Köpf. 2024. Grey-box extraction of natural language models. In ICML. Google …

WebYun-Yun Tsai. CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples. Proceedings of the IEEE/CVF Conference on Computer Vision …

Web{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T05:40:54Z","timestamp ... WebCloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples. H Yu, K Yang, T Zhang, YY Tsai, TY Ho, Y Jin. NDSS, 2024. 99: ... 2024. 97: 2024: Robust adversarial objects against deep learning models. T Tsai, K Yang, TY Ho, Y Jin. Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 954-962, 2024. 67:

WebDOI: 10.14722/ndss.2024.24178 Corpus ID: 211268411; CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples @inproceedings{Yu2024CloudLeakLD, title={CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples}, author={Honggang Yu and Kaichen …

WebFederated learning protocol provides an applicable solution for large-scale deep learning in distributed scenario. However, existing federated learning system is vulnerable to many attacks and threats. ... Tsai Y-Y, Ho T-Y, Jin Y. CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples. In: Network and Distributed ... er arrowhead\u0027sWebCloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples. 2024 IEEE International Symposium on Hardware Oriented Security and Trust …. … eras6.ntt-east.co jpWebCloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples Honggang Yu, Kaichen Yang, Teng Zhang, Yun-Yun Tsai, Tsung-Yi Ho, Yier Jin Read … erasable notebook australiaWebDOI: 10.14722/ndss.2024.24178 Corpus ID: 211268411; CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples … findlay hardware storeWebSep 25, 2024 · Deep learning models have been deployed in more and more fields, such as computer vision, natural language processing, and speech recognition, for their … erarth\\u0027s atmoWebFeb 12, 2024 · In this paper, we introduce an effective and efficient black-box attack methodology that extracts largescale DNN models from cloud-based platforms with … era rushing real estate in hot springs arWebDec 31, 2024 · Specifically, the proposed attack approach contains two stages: 1) Inferring the underlying network architecture through EM sidechannel information; 2) Estimating … findlay handyman