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As a module, it can selectively expose (provide) its own attributes and methods to other modules for use by other modules.《还我正义》（Leverage）是一个现代罗宾汉的故事，故事的主人公Nate Ford曾当过保险调查员，为自己的老板挽回过数百万美元的损失，是个忠心耿耿的雇员。但是有一天，他发现老板宁愿让自己的儿子去死也不肯兑现理赔，意识到自己与这个虚伪的行业根本就格格不入。辞职之后，Nate Ford戒掉了酒瘾，与另外四个各具神通的人组成了一个小团队，发誓保护那些受到社会与强权主义压迫、得不到公正待遇的人。这四个人是：Parker－－盗窃专家；Alex Hardison－－互联网与计算机专家；Eliot Spencer－－不费吹灰之力就能徒手对付一大群敌人的壮汉；Sophie Devereaux－－职业骗子，骗人的表演技术足以赢得奥斯卡奖。From the defender's point of view, this type of attack has proved (so far) to be very problematic, because we do not have effective methods to defend against this type of attack. Fundamentally speaking, we do not have an effective way for DNN to produce good output for all inputs. It is very difficult for them to do so, because DNN performs nonlinear/nonconvex optimization in a very large space, and we have not taught them to learn generalized high-level representations. You can read Ian and Nicolas's in-depth articles (http://www.cleverhans.io/security/privacy/ml/2017/02/15/why-attaching-machine-learning-is-easier-than-defending-it.html) to learn more about this.……ps：除夕快乐前缉毒警严谨在卧底贩毒集团调查陈年疑案时，与“似水流年”咖啡店老板季晓鸥相爱。一桩离奇的杀人案却将两人的爱情拖入深渊。真相迷雾重重，而严谨仿佛坠入无尽的黑暗，他和季晓鸥的爱情又将何去何从……解放战争时期的黔东，土匪频繁出没的地方。布依少女陆翠珍匆匆与当地的首富莫家少爷莫志明成亲，逃避天台寨的匪首熊山虎软硬兼施逼她做压寨夫人，熊山虎对此耿耿于怀，决意要血洗莫家庄。夺回陆翠珍。莫六姑因觉财产分配不公，对莫志明怀恨在心，更是对机敏能干的陆翠珍恨之入骨，熊山虎便勾结六姑设计陷害莫志明夫妇。莫志明中毒身亡，陆侥幸逃过一劫，她发誓要报杀夫之仇。熊山虎欲趁机一举侵占莫家庄，但棋逊一招，反被陆一举歼灭。巧取天台寨后，陆与得力干将覃天建立了深厚感情。但世俗的门规限制了他们的发展，覃天默默的离开了家乡。国民党残余部队为了东山再起，制造假象，身边的人也挑拨离间，使布依山区首领陆翠珍对解放军误会极深，在解放军全歼敌军后，陆率村民躲入天台寨，成为布依山区赫赫有名的‘女匪首‘，黔东解放后，解放军着手剿匪行动，而此时的覃天是解放军里的一名排长，领导山区剿匪行动，与大大小小各处的山匪展开艰苦的较量......