multimodal backdoors answering dual-key
【五期杨志】CCF-A（CVPR'22） Dual-Key Multimodal Backdoors for Visual Question Answering
Walmer M, Sikka K, Sur I, et al. Dual-Key Multimodal Backdoors for Visual Question Answering[C]//Proceedings of the IEEE/CVF Conference on Computer Vi ......
Instruction-Following Agents with Multimodal Transformer
概述 提出了InstructRL，包含一个multimodal transformer用来将视觉obs和语言的instruction进行编码，以及一个transformer-based policy，可以基于编码的表示来输出actions。 前者在1M的image-text对和NL的text上进行训 ......
FreeSWITCH在answer前主动发dtmf
操作系统 ：CentOS 7.6_x64 FreeSWITCH版本 ：1.10.9 NAT环境的主动外呼场景下，会遇到线路侧回铃音数据无法接收的问题，需要FreeSWITCH主动发送RTP数据，发送DTMF是个选择。本文记录下如何使用FreeSWITCH在answer前发送DTMF，我将从以下几个方 ......
SP1716 GSS3 - Can you answer these queries III 题解
题意： 给定一个长度为 $ n $ 的序列 $ a $ ， $ q $ 次操作，每次操作为以下之一： \(0\) \(x\) \(y\)：将 \(a_x\) 修改为 \(y\) \(1\) \(l\) \(r\)：询问区间 \([l，r]\) 的最大连续子序列和 思路： 考虑线段树维护区间最大连续子 ......
SP19543 GSS8 - Can you answer these queries VIII 题解
更好的阅读体验 SP19543 GSS8 - Can you answer these queries VIII fhq + 二项式定理。提供一个不太一样的思路。默认下标从 \(1\) 开始。 首先插入删除，区间查询，想到可以平衡树维护或者离线下来做线段树。本文中是用的是 fhq，好写一些。 \(k ......
SP1557 GSS2 - Can you answer these queries II 题解
SP1557 GSS2 - Can you answer these queries II 更好的阅读体验 扫描线。把询问挂在右端点上，扫描右端点，纵轴仍为序列维。 对于这种出现多次的数只算一次的，记 \(pre_i\) 表示 \(i\) 这个值上一次的出现位置，套路化的可以强制让出现多次的在 \( ......
UniKGQA Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph
目录概主要内容代码 Jiang J., Zhou K., Zhao W. and Wen J. UniKGQA: Unified retrieval and reasoning for solving multi-hop question answering over knowledge graph ......
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
目录概主要内容代码 Sun H., Dhingra B., Zaheer M., Mazaitis K., Salakhutdinov R. and Cohen W. W. Open domain question answering using early fusion of knowledge ......
Internet-augmented language models through few-shot prompting for open-domain question answering阅读笔记
Internet-augmented language models through few-shot prompting for open-domain question answering 其实我没怎么正经读过论文，尤其是带实验的，我目前认真读过的（大部头）也就是一些LLM的综述。记录这个文档主 ......
Proj CDeepFuzz Paper Reading: PELICAN: Exploiting Backdoors of Naturally Trained Deep Learning Models In Binary Code Analysis
## Abstract 背景： 1. 本文研究的不是被恶意植入的后门，而是products of defects in training 2. 攻击模式: injecting some small fixed input pattern(backdoor) to induce misclassifi ......
answer answerdev/answer:latest 开源问答平台
freedidi.com/10294.html https://youtu.be/A2GUgvPlTBE?si=jdhqXL1WttLrLgiQ docker依赖 yum install -y yum-utils device-mapper-persistent-data lvm2 ce的软件源信息 ......
【五期邹昱夫】CCF-A（TIFS'23）SAFELearning: Secure Aggregation in Federated Learning with Backdoor Detectability
> "Zhang, Zhuosheng, et al. "SAFELearning: Secure Aggregation in Federated Learning with Backdoor Detectability." IEEE Transactions on Information For ......
【五期邹昱夫】CCF-A（SP'23）3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning
> "Li, Haoyang, et al. "3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning." 2023 IEEE Symposium on Security an ......
Answer Set Programming 回答集编程
什么是ASP？ ASP，全称 Answer Set Programming 中文名叫“回答集编程”。实验室学长要我学ASP的时候，我就去百度查了ASP，结果查到了都是这个：Active Server Page，意为“活动服务器网页”。我当时就在想：“这个不对啊，这个搞网站的，应该是旁边组系统集成组的 ......
大语言模型的预训练[3]之Prompt Learning：Prompt Engineering、Answer engineering、Multi-prompt learning、Training strategy详解
大语言模型的预训练[3]之Prompt Learning：Prompt Engineering、Answer engineering、Multi-prompt learning、Training strategy详解 ......
【五期邹昱夫】CCF-B（IEEE Access'19）Badnets: Evaluating backdooring attacks on deep neural networks
> "Gu, Tianyu, et al. "Badnets: Evaluating backdooring attacks on deep neural networks." IEEE Access 7 (2019): 47230-47244." 本文提出了外包机器学习时选择值得信赖的提供商的重要 ......
【五期邹昱夫】CCF-B（RAID'18）Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
> "Liu, Kang, Brendan Dolan-Gavitt, and Siddharth Garg. "Fine-pruning: Defending against backdooring attacks on deep neural networks." Research in Att ......
【五期邹昱夫】CCF-A（NeurIPS'22）Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork
> "Wang, Haotao, et al. "Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork." Advances in Neural Informa ......
【五期邹昱夫】CCF-A（NeurIPS'21）Adversarial Neuron Pruning Purifies Backdoored Deep Models
> "Wu, Dongxian, and Yisen Wang. "Adversarial neuron pruning purifies backdoored deep models." Advances in Neural Information Processing Systems 34 (2 ......
2022 AMC 10B Answer Key
A D D A B A B B D D B C E B D D C B C D E E C B A ......
2022 AMC 10A Answer Key
D B E E C A B D D E C A C E D D D A C E B D B E B ......
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities
摘要 提出SimCLR，用于视觉表征的对比学习，简化了最近提出的对比自监督学习算法，为了理解是什么使对比预测任务能够学习有用的表示，系统研究了提出框架的主要组成部分，发现： （1）数据增强的组成在定义有效的预测任务中起着关键的作用 （2）在表示和对比损失之间引入一个可学习的非线性变换，大大提高了已学 ......