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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Multi-task adversarial le" (9 stories)

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Federated reinforcement learning–driven multi-task optimization for robust and ethical edge internet of things security
Lead StoryNaturemarkets
Jan 15

Federated reinforcement learning–driven multi-task optimization for robust and ethical edge internet of things security

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE16MXBFM3JkZmZYRHJzQWJLSFV1d09fNUVBS245V1dkV2JSOVYweVI0aFMwTGtKdlg3RlFEZHFaZEZFTkZtTkRIWTFESC1XX05sODdyRUdvZm5feW9JaEFn?oc=5" target="_blank">Federated reinforcement learning–driven multi-task optimization for robust and ethical edge internet of things security</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Multi-task adversarial le"

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8 stories displayed
Segmentation and classification of hippocampal subregions using multi-task generative adversarial networks
Naturegeneral

Segmentation and classification of hippocampal subregions using multi-task generative adversarial networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE54N2NmbFFjeXUxY3NkWEdjSC02V2VaQzhzWXJzam1pcy0xWGYyUGU4TXFEWWRDeGg0T0FTODAyMnJoTzA2YU0xc0ZKczQzUHdieF9vdGotSlpER0lUNnVj?oc=5" target="_blank">Segmentation and classification of hippocampal subregions using multi-task generative adversarial networks</a>  <font color="#6f6f6f">Nature</font>

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Harness design for long-running application development
Anthropicworld

Harness design for long-running application development

<a href="https://news.google.com/rss/articles/CBMiekFVX3lxTE9qTVhZVkFSR3BSeURxci1ESVA3MzNFQzlNRDY1YTV1ZFh6ZElYWEtRcllsN0ZVZk9HOTNCQ2drdWFzWV9RTm9IZVNWajJmSmw1c0t1LXJTZGpWOEZBYkFQS3ctVFJfRnJrWlJHNTZyV2dvRk5Bblp3RjBR?oc=5" target="_blank">Harness design for long-running application development</a>  <font color="#6f6f6f">Anthropic</font>

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Adversarial Robustness in Multi-Task Learning: Promises and Illusions
The Association for the Advancement of Artificial Intelligencegeneral

Adversarial Robustness in Multi-Task Learning: Promises and Illusions

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5tY2JGcmk4dTREaXhwb1FiaE9WejZnWEFpMTQ2am41SGdJbVBEZ2NYd0JzYmhUck1SWEhuMUZRRmpuQUJITnk3NEFSYWxlNEJyWEJMM215UFd4a1JtQWZqSVQwYWU?oc=5" target="_blank">Adversarial Robustness in Multi-Task Learning: Promises and Illusions</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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PrefGAN-BERT: integrating direct preference optimization into semi-supervised GAN-BERT for robust text classification
Naturegeneral

PrefGAN-BERT: integrating direct preference optimization into semi-supervised GAN-BERT for robust text classification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBwZUNBSnNjRkVwTmx2WTZhWk1xLUxwSXNMQUxLNHlWNngzdHNUUDd6Slp1aVdNQVFMWnZDYmFPajNCS1VxNXdFeS14emZOX2pBd2RBR09DQzU4SUF5NUpR?oc=5" target="_blank">PrefGAN-BERT: integrating direct preference optimization into semi-supervised GAN-BERT for robust text classification</a>  <font color="#6f6f6f">Nature</font>

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Improving the adversarial transferability with relational graphs ensemble adversarial attack
Frontiersgeneral

Improving the adversarial transferability with relational graphs ensemble adversarial attack

<a href="https://news.google.com/rss/articles/CBMilAFBVV95cUxQWDlBOUFDMEtoOFhlN1R3MlVmUlhhdnZ3V2NJQnZna3gxalFTQkszSldMcUZ2RmtwaXduVElDdjFWZGNTZXVQLXJSMkpxRUJ2eHFRYjVIZjlFbnc5am1xS3d6NThsSk9URDNLSlRhaEtCUFpaYnBWM0JUa0tZSHVaV3NmM1pNM2diQWF2R0s2c3V6SF9o?oc=5" target="_blank">Improving the adversarial transferability with relational graphs ensemble adversarial attack</a>  <font color="#6f6f6f">Frontiers</font>

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DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
alphaXivgeneral

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

<a href="https://news.google.com/rss/articles/CBMiUEFVX3lxTE12OVZGYVR5cUcwRzFYUzhvS0ZTZUtoN2NRWVFzZ0VzWjV5TEFVRW9QYkxRLVJ5NW42RlRBTUVjOTJjTmpxUER2LXN4U2JTM204?oc=5" target="_blank">DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models</a>  <font color="#6f6f6f">alphaXiv</font>

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Defense against adversarial attacks: robust and efficient compressed optimized neural networks | Scientific Reports
Naturetech

Defense against adversarial attacks: robust and efficient compressed optimized neural networks | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9jY1FseHdISmx3UFN1MlRiYUlaU0xhRTlORk5XN3NmMWRCdEEwZG95R3hUOEJucm1yT3AtZk1Bek9HZEw0bnZNVVBZa1MxRDJBUFpSNFh1VlFaOFgzN1dz?oc=5" target="_blank">Defense against adversarial attacks: robust and efficient compressed optimized neural networks | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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SegMatch: semi-supervised surgical instrument segmentation
Naturegeneral

SegMatch: semi-supervised surgical instrument segmentation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE03RjkwamdpTVRhSDNvSVE1czFBSkNMVV9xQnNFbFp6UUxCY3NoakU2Mm1WaGlOSF9JOW5IVkh1SVJYVUNYRmlBbU4xVE4wdWVHMUtmSjZDaDdJUmxRUGNB?oc=5" target="_blank">SegMatch: semi-supervised surgical instrument segmentation</a>  <font color="#6f6f6f">Nature</font>

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