Risultati ricerca autore :: Library Catalog

1

Time-Efficient Evaluation and Enhancement of Adversarial Robustness in Deep Neural Networks Autoría: Lin, Runqi

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization Autoría: Lin, Runqi, Yu, Chaojian, Liu, Tongliang

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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On the Over-Memorization During Natural, Robust and Catastrophic Overfitting Autoría: Lin, Runqi, Yu, Chaojian, Han, Bo, Liu, Tongliang

Pubblicazione 2023

Fuente: arXiv

Tipo de material: Preprint

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4

Understanding and Enhancing the Transferability of Jailbreaking Attacks Autoría: Lin, Runqi, Han, Bo, Li, Fengwang, Liu, Tongling

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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5

Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency Autoría: Lin, Runqi, Yu, Chaojian, Han, Bo, Su, Hang, Liu, Tongliang

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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6

Instance-dependent Early Stopping Autoría: Yuan, Suqin, Lin, Runqi, Feng, Lei, Han, Bo, Liu, Tongliang

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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7

FORCE: Transferable Visual Jailbreaking Attacks via Feature Over-Reliance CorrEction Autoría: Lin, Runqi, Paren, Alasdair, Yuan, Suqin, Li, Muyang, Torr, Philip, Bibi, Adel, Liu, Tongliang

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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Mobile-VTON: High-Fidelity On-Device Virtual Try-On Autoría: Wan, Zhenchen, Chen, Ce, Lin, Runqi, Huang, Jiaxin, Chen, Tianxi, Xu, Yanwu, Liu, Tongliang, Gong, Mingming

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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9

PosA-VLA: Enhancing Action Generation via Pose-Conditioned Anchor Attention Autoría: Li, Ziwen, Wang, Xin, Zhang, Hanlue, Chen, Runnan, Lin, Runqi, He, Xiao, Huang, Han, Guo, Yandong, Karray, Fakhri, Liu, Tongliang, Gong, Mingming

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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10

Mirage2Matter: A Physically Grounded Gaussian World Model from Video Autoría: Gao, Zhengqing, Li, Ziwen, Wang, Xin, Huang, Jiaxin, Ren, Zhenyang, Shao, Mingkai, Zhang, Hanlue, Huang, Tianyu, Cheng, Yongkang, Guo, Yandong, Lin, Runqi, Wang, Yuanyuan, Liu, Tongliang, Zhang, Kun, Gong, Mingming

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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Time-Efficient Evaluation and Enhancement of Adversarial Robustness in Deep Neural Networks Autoría: Lin, Runqi

Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization Autoría: Lin, Runqi, Yu, Chaojian, Liu, Tongliang

On the Over-Memorization During Natural, Robust and Catastrophic Overfitting Autoría: Lin, Runqi, Yu, Chaojian, Han, Bo, Liu, Tongliang

Understanding and Enhancing the Transferability of Jailbreaking Attacks Autoría: Lin, Runqi, Han, Bo, Li, Fengwang, Liu, Tongling

Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency Autoría: Lin, Runqi, Yu, Chaojian, Han, Bo, Su, Hang, Liu, Tongliang

Instance-dependent Early Stopping Autoría: Yuan, Suqin, Lin, Runqi, Feng, Lei, Han, Bo, Liu, Tongliang

FORCE: Transferable Visual Jailbreaking Attacks via Feature Over-Reliance CorrEction Autoría: Lin, Runqi, Paren, Alasdair, Yuan, Suqin, Li, Muyang, Torr, Philip, Bibi, Adel, Liu, Tongliang

Mobile-VTON: High-Fidelity On-Device Virtual Try-On Autoría: Wan, Zhenchen, Chen, Ce, Lin, Runqi, Huang, Jiaxin, Chen, Tianxi, Xu, Yanwu, Liu, Tongliang, Gong, Mingming

PosA-VLA: Enhancing Action Generation via Pose-Conditioned Anchor Attention Autoría: Li, Ziwen, Wang, Xin, Zhang, Hanlue, Chen, Runnan, Lin, Runqi, He, Xiao, Huang, Han, Guo, Yandong, Karray, Fakhri, Liu, Tongliang, Gong, Mingming

Mirage2Matter: A Physically Grounded Gaussian World Model from Video Autoría: Gao, Zhengqing, Li, Ziwen, Wang, Xin, Huang, Jiaxin, Ren, Zhenyang, Shao, Mingkai, Zhang, Hanlue, Huang, Tianyu, Cheng, Yongkang, Guo, Yandong, Lin, Runqi, Wang, Yuanyuan, Liu, Tongliang, Zhang, Kun, Gong, Mingming

Risultati della ricerca - Lin, Runqi

Time-Efficient Evaluation and Enhancement of Adversarial Robustness in Deep Neural Networks Autoría: Lin, Runqi

Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization Autoría: Lin, Runqi, Yu, Chaojian, Liu, Tongliang

On the Over-Memorization During Natural, Robust and Catastrophic Overfitting Autoría: Lin, Runqi, Yu, Chaojian, Han, Bo, Liu, Tongliang

Understanding and Enhancing the Transferability of Jailbreaking Attacks Autoría: Lin, Runqi, Han, Bo, Li, Fengwang, Liu, Tongling

Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency Autoría: Lin, Runqi, Yu, Chaojian, Han, Bo, Su, Hang, Liu, Tongliang

Instance-dependent Early Stopping Autoría: Yuan, Suqin, Lin, Runqi, Feng, Lei, Han, Bo, Liu, Tongliang

FORCE: Transferable Visual Jailbreaking Attacks via Feature Over-Reliance CorrEction Autoría: Lin, Runqi, Paren, Alasdair, Yuan, Suqin, Li, Muyang, Torr, Philip, Bibi, Adel, Liu, Tongliang

Mobile-VTON: High-Fidelity On-Device Virtual Try-On Autoría: Wan, Zhenchen, Chen, Ce, Lin, Runqi, Huang, Jiaxin, Chen, Tianxi, Xu, Yanwu, Liu, Tongliang, Gong, Mingming

PosA-VLA: Enhancing Action Generation via Pose-Conditioned Anchor Attention Autoría: Li, Ziwen, Wang, Xin, Zhang, Hanlue, Chen, Runnan, Lin, Runqi, He, Xiao, Huang, Han, Guo, Yandong, Karray, Fakhri, Liu, Tongliang, Gong, Mingming

Mirage2Matter: A Physically Grounded Gaussian World Model from Video Autoría: Gao, Zhengqing, Li, Ziwen, Wang, Xin, Huang, Jiaxin, Ren, Zhenyang, Shao, Mingkai, Zhang, Hanlue, Huang, Tianyu, Cheng, Yongkang, Guo, Yandong, Lin, Runqi, Wang, Yuanyuan, Liu, Tongliang, Zhang, Kun, Gong, Mingming

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