method returns an Awaitable execution will not proceed until the Awaitable is done. Added in version 3.1: Asynchronous support. RequestHandler.on_finish() → None Called after the end of a request. Override custom HTTP header named X-XSRFToken or X-CSRFToken (the latter is accepted for compatibility with Django). See http://en.wikipedia.org/wiki/Cross-site_request_forgery Changed in version 3.2.2: Added support other exceptions as errors with stack traces (on the tornado.application logger). Added in version 3.1. RequestHandler.on_connection_close() → None Called in async handlers if the client closed the connection

What’s new in Tornado 3.2.1 What’s new in Tornado 3.2 What’s new in Tornado 3.1.1 What’s new in Tornado 3.1 What’s new in Tornado 3.0.2 What’s new in Tornado 3.0.1 What’s new in Tornado 3.0 What’s new in Tornado method returns an Awaitable execution will not proceed until the Awaitable is done. Added in version 3.1: Asynchronous support. RequestHandler.on_finish() → None [https://docs.python.org/3/library/constants custom HTTP header named X-XSRFToken or X-CSRFToken (the latter is accepted for compatibility with Django). See http://en.wikipedia.org/wiki/Cross-site_request_forgery Changed in version 3.2.2: Added support

安全治理框架1. 人工智能安全治理原则 …………………………………… 1 2. 人工智能安全治理框架构成 ……………………………… 2 3. 人工智能安全风险分类 …………………………………… 3 3.1 人工智能内生安全风险 ……………………………… 3 3.2 人工智能应用安全风险 ……………………………… 5 4. 技术应对措施 ……………………………………………… 7 4.1 针对人工智能内生安全风险 人工智能安全风险分类 人工智能系统设计、研发、训练、测试、部署、使用、维护等生命周期 各环节都面临安全风险，既面临自身技术缺陷、不足带来的风险，也面临不当 使用、滥用甚至恶意利用带来的安全风险。 3.1 人工智能内生安全风险 3.1.1 模型算法安全风险 （a）可解释性差的风险。以深度学习为代表的人工智能算法内部运行逻 辑复杂，推理过程属黑灰盒模式，可能导致输出结果难以预测和确切归因，如 有异常难以快速修正和溯源追责。

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 3.1. 变量与可变性 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .