Cloudleak: large-scale deep learning models
WebPrevious backdoor attacks predominantly focus on computer vision (CV) applications, such as image classification. In this paper, we perform a systematic investigation of backdoor … 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) …
Cloudleak: large-scale deep learning models
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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, 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: WebApr 7, 2024 · The field of deep learning has witnessed significant progress, particularly in computer vision (CV), natural language processing (NLP), and speech. The use of large-scale models trained on vast amounts of data holds immense promise for practical applications, enhancing industrial productivity and facilitating social development. With …
WebCloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples. Network and Distributed…. Cloud-based Machine Learning as a Service (MLaaS) is … WebSep 1, 2024 · Deploying deep neural networks on mobile devices is a challenging task due to computation complexity and memory intensity. Current model reduction methods (e.g., matrix approximation using SVD ...
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). … WebOur 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 different transfer architectures to steal black-box target model. 24 A Comparison to prior works. Proposed Attacks Parameter Size Queries Accuracy Black-box? Stealing Cost
Web•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 …
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 … overcome winter depressionWebFederated 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 ... overcome with amazement or horror crosswordWebThis work launches the first imitation attack on LLCMs by querying a target LLCM with carefully-designed queries and collecting the outputs, and systematically investigates the effectiveness of launching imitation attacks under different query schemes and different LLCM tasks. Recent progress in large language code models (LLCMs) has led to a … ralphs store on vermont and adams blvdWebOur 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 different … overcome weakness interview questionWebJournal 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. overcome wikiWebDec 11, 2024 · Star 11. Code. Issues. Pull requests. Code for "CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples" (NDSS 2024) security adversarial-learning adversarial-machine-learning ndss-2024 model-stealing transfer-attack. Updated on Nov 14, 2024. ralphs store numbersWebSep 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 … ralphs studio city