清华大学董胤蓬：Adversarial Robustness of Deep Learning
2020-01-21 12:30:00 不到现场，照样看最干货的学术报告！ 嗨，大家好。这里是学术报告专栏，读芯术小编不定期挑选并亲自跑会，为大家奉献科技领域最优秀的学术报告，为同学们记录报告干货，并想方设法搞到一手的PPT和现场视频——足够干货，足够新鲜！话不多说，快快看过来，希望这些优秀的青年学者、专家杰青的学术报告 ，能让您在业余时间的知识阅读更有价值。 人工智能论坛如今浩如烟海，有硬货
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相关文章
- 1. 「智源论坛Live报名」清华大学董胤蓬：深度学习对抗攻防平台
- 2. [paper]The Limitations of Deep Learning in Adversarial Settings(JSMA）
- 3. The Limitations of Deep Learning in Adversarial Settings
- 4. ROBUSTNESS TO ADVERSARIAL EXAMPLES THROUGH AN ENSEMBLE OF SPECIALISTS
- 5. Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
- 6. [转载][paper]Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
- 7. Certified Adversarial Robustness via Randomized Smoothing
- 8. [论文解读]Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
- 9. Brief Introduction of Deep Learning
- 10. Evaluation of Deep Learning Toolkits