清華大學董胤蓬：Adversarial Robustness of Deep Learning
2020-01-21 12:30:00 不到現場，照樣看最乾貨的學術報告！ 嗨，大家好。這裏是學術報告專欄，讀芯術小編不定期挑選並親自跑會，爲大家奉獻科技領域最優秀的學術報告，爲同學們記錄報告乾貨，並想方設法搞到一手的PPT和現場視頻——足夠乾貨，足夠新鮮！話不多說，快快看過來，希望這些優秀的青年學者、專家傑青的學術報告 ，能讓您在業餘時間的知識閱讀更有價值。 人工智能論壇如今浩如煙海，有硬貨
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相關文章
- 1. 「智源論壇Live報名」清華大學董胤蓬：深度學習對抗攻防平臺
- 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. [轉載][paper]Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
- 7. Certified Adversarial Robustness via Randomized Smoothing
- 8. [論文解讀]Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
- 9. Brief Introduction of Deep Learning
- 10. Evaluation of Deep Learning Toolkits