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《融和不容易 mixed-ish》原定在《喜新不厌旧》美国时间5月7日「Becoming Bow」一集中以后门试映集登场，不过现在此集将抽起改为在正剧中播出。由Peter mingtian6.com Saji及Kenya Barris执笔的《融和不容易》描述Rainbow Johnson（Tracee Ellis Ross饰）在80年代所过的混合种族生活，Rainbow的父母Paul 及Alicia为了更好的家庭生活而从嬉皮士社区搬到郊区，Rainbow及其姐弟入读了当地主流学校，而他们在此既不够黑亦不够白。1. Read the competition introduction and data description carefully;一对生活极有品味的夫妇邀来三五好友，男主人戴夫打算大显身手，为大家准备一场精致的晚宴。随着夜幕降临，怪事开始发生。不速之客一个接着一个出现，一位电工自称是安妮的朋友登门而来，可是随后到来的安妮并不认识这位电工。还有一名自称哲学教授的法国人也不请自来，浪漫的法国口音让女客们为之倾倒，贝丝、安妮都莫名跟他上了床，怎料完事之后，法国口音不见了，这让安妮顿感受骗。哲学教授反指安妮所属的非营利组织「无国界瑜珈士」，战乱之下的人民最不需要的就是瑜珈！当派对陷入暴力、离奇的性行为和荒谬的境地时，安妮在浴室发现了一具尸体，众人开始怀疑他妈的烤箱里到底是什么肉……To build a standard data set, the classifier must accurately predict before it can be put into production. This data set ideally contains a set of carefully planned attacks and normal content representing your system. This process will ensure that you can detect when a weaponized attack can produce a significant regression in your model before it has a negative impact on your users.P3D environment: FTX Global/VECTOR, Terraflora, REX4TDE, REXSF, REX WWA, PTA, ASP4, ChasePlane正是讨伐叛逆……两军在淮水附近展开激战，短时间内战争肯定不会有结果，但是已经牵动了很多人的心。Data Poisoning Attack: This involves inputting antagonistic training data into the classifier. The most common type of attack we observe is model skew. Attackers pollute training data in this way, making classifiers tilt to their preferences when classifying good data and bad data. The second attack we have observed in practice is feedback weaponization, which attempts to abuse the feedback mechanism to manipulate the system to misclassify good content as abuse (e.g. Competitor's content or part of retaliatory attacks).