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原创 【论文阅读笔记】Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training
个人阅读笔记,如有错误欢迎指出!
2025-03-17 16:48:13
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原创 Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training
个人阅读笔记,如有错误欢迎指出!
2025-02-26 10:55:24
888
原创 【论文阅读笔记】SDBA: A Stealthy and Long-Lasting Durable Backdoor Attack in Federated Learning
个人阅读笔记,如有错误欢迎指出!
2024-10-10 10:44:35
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原创 【论文阅读笔记】Eavesdrop the Composition Proportion of Training Labels in Federated Learning
个人阅读笔记,如有错误欢迎指出!
2024-10-10 10:35:57
1025
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原创 【论文阅读笔记】A Stability-Enhanced Dynamic Backdoor Defense in Federated Learning for IIoT
个人阅读笔记,如有错误欢迎指出!
2024-08-16 17:22:19
1081
原创 【论文阅读笔记】CrowdGuard: Federated Backdoor Detection in Federated Learning
个人阅读笔记,如有错误欢迎指出!
2024-05-13 15:01:47
1481
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原创 【论文阅读笔记】Beyond Traditional Threats A Persistent Backdoor Attack on Federated Learning
个人阅读笔记,如有错误欢迎指出
2024-04-17 20:57:20
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原创 【论文阅读笔记】Automatic Adversarial Adaption for Stealthy Poisoning Attacks in Federated Learning
个人阅读笔记,如有错误欢迎指出。
2024-04-01 17:40:12
1329
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原创 【论文阅读笔记】BapFL:You can backdoor personalized federated learning
个人阅读笔记,如有错误欢迎指出
2024-03-18 17:55:56
707
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原创 【论文阅读笔记】Local and Central Differential Privacy for Robustness and Privacy in Federated Learning
个人阅读笔记,如有错误欢迎指出!
2024-01-08 14:39:51
1250
原创 【论文阅读笔记】Detecting AI Trojans Using Meta Neural Analysis
个人阅读笔记,如有错误欢迎指出!
2023-11-10 19:59:46
1628
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原创 【论文阅读笔】TEAR: Exploring Temporal Evolution of Adversarial Robustness for Membership Inference Attacks
个人阅读笔记,如有错误欢迎指出!
2023-10-12 10:45:27
287
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原创 【论文阅读笔记】Shielding collaborative learning:Mitigating poisoning attacks through client-side detection.
个人阅读笔记,如有错误欢迎指出!
2023-09-06 15:19:39
367
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原创 【论文阅读笔记】Attack-Resistant Federated Learning with Residual-based Reweighting
个人阅读笔记,如有错误欢迎指出
2023-07-12 11:10:59
1049
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原创 【论文阅读】Secure Partial Aggregation: Making Federated Learning More Robust for Industry 4.0 Application
个人阅读笔记,如有错误欢迎指出!
2023-07-11 10:33:12
276
原创 【论文阅读笔记】Analyzing Federated Learning through an Adversarial Lens
个人阅读笔记,如有错误欢迎指出!
2023-07-03 14:17:45
1093
原创 【论文阅读笔记】Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
个人阅读笔记,如有错误欢迎指出!
2023-06-14 10:38:40
3236
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原创 【论文阅读笔记】CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
个人阅读笔记,如有错误欢迎指出!
2023-05-29 21:15:55
1072
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原创 【论文阅读笔记】BaFFLe: Backdoor Detection via Feedback-based Federated Learning
个人阅读笔记,如有错误欢迎指出
2023-05-23 12:33:13
908
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原创 【论文阅读】Resisting Distributed Backdoor Attacks in Federated Learning: A Dynamic Norm Clipping Approach
个人阅读笔记,如有错误欢迎指出
2023-05-19 16:02:16
360
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原创 【论文阅读笔记】Federated Unlearning with Knowledge Distillation
个人阅读笔记,如有错误欢迎指出
2023-05-19 10:28:14
815
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原创 【论文阅读笔记】FedEraser: Enabling Efficient Client-Level Data Removal from Federated Learning Models
个人阅读笔记,如有错误欢迎指出
2023-05-18 08:49:13
1043
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原创 【论文阅读笔记】Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
个人阅读笔记,如有错误欢迎指出
2023-05-12 14:34:24
198
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原创 【论文阅读笔记】Dynamic backdoor attacks against federated learning
个人阅读笔记,如有错误欢迎指出
2023-05-11 17:33:16
573
原创 【论文阅读笔记】ARIBA: Towards Accurate and Robust Identification of Backdoor Attacks in Federated Learning
个人阅读笔记,如有错误欢迎指出
2023-05-10 16:30:50
203
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原创 【论文阅读笔记】Neurotoxin: Durable Backdoors in Federated Learning
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2023-05-04 17:28:59
690
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原创 【论文阅读笔记】Robust Federated Learning with Attack-Adaptive Aggregation
个人阅读笔记,如有错误欢迎指出。
2023-04-27 17:50:02
362
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原创 【论文阅读笔记】Learning to Detect Malicious Clients for Robust Federated Learning
个人阅读笔记,如有错误欢迎指正。
2023-04-27 15:21:09
420
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原创 【论文阅读笔记】The Limitations of Federated Learning in Sybil Settings
个人阅读笔记,如有错误欢迎指正。
2023-04-25 16:37:12
1373
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原创 【论文阅读笔记】Data Poisoning Attacks Against Federated Learning Systems
个人阅读笔记,如有错误欢迎指正。
2023-04-18 18:57:02
1383
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原创 【论文阅读笔记】Coordinated Backdoor Attacks against Federated Learning with Model-Dependent Triggers
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2023-04-18 18:10:48
363
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原创 【论文阅读笔记】Attack of the Tails: Yes, You Really Can Backdoor Federated
个人阅读笔记,如有错误欢迎指正!
2023-04-17 14:50:59
987
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原创 【论文阅读笔记】Mitigating the Backdoor Attack by Federated Filters for Industrial IoT Applications
个人阅读笔记,如有错误欢迎指正!
2023-04-10 18:07:16
231
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原创 【论文阅读笔记】PPA: Preference Profiling Attack Against Federated Learning
个人阅读笔记,如有错误欢迎指正
2023-03-15 16:49:43
1119
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原创 【论文阅读笔记】FLAME: Taming Backdoors in Federated Learning
Flame阅读笔记,若有错误欢迎指正
2023-03-02 17:51:47
1714
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原创 【论文阅读笔记】Efficient and Secure Federated Learning With Verifiable Weighted Average Aggregation
个人阅读笔记,若有错误欢迎指正。
2023-02-28 17:22:32
535
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原创 【论文阅读笔记】DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection
论文阅读笔记DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection,区分中毒客户端模型与良性客户端模型
2023-02-21 16:58:46
1032
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原创 leetcode笔记 203移除链表元素 python Java
给你一个链表的头节点 head 和一个整数 val ,请你删除链表中所有满足 Node.val == val 的节点,并返回 新的头节点 。输入:head = [1,2,6,3,4,5,6], val = 6输出:[1,2,3,4,5]输入:head = [], val = 1输出:[]输入:head = [7,7,7,7], val = 7输出:[]python解法一:# Definition for singly-linked list.# class
2022-05-10 15:56:35
238
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原创 leetcode做题笔记 76最小覆盖子串 python
给你一个字符串 s 、一个字符串 t 。返回 s 中涵盖 t 所有字符的最小子串。如果 s 中不存在涵盖 t 所有字符的子串,则返回空字符串 "" 。注意:对于 t 中重复字符,我们寻找的子字符串中该字符数量必须不少于 t 中该字符数量。如果 s 中存在这样的子串,我们保证它是唯一的答案。这道题不会做,看了官方答案还思考了好久class Solution: def minWindow(self, s: str, t: str) -> str: ne.
2022-04-02 17:29:18
280
原创 leetcode做题笔记 54螺旋矩阵 python
给你一个 m 行 n 列的矩阵 matrix ,请按照 顺时针螺旋顺序 ,返回矩阵中的所有元素。示例输入:matrix = [[1,2,3],[4,5,6],[7,8,9]]输出:[1,2,3,6,9,8,7,4,5]延续 59螺旋矩阵II 的思路,依次按照螺旋的顺序添加数字到空列表array中需要注意的是,与59不同,该输入列表非n*n的,所以需要计算列表的行数和列数,列表的行直接用len()可得出,列数为len(matric[0]),因为此列表的维度为2。class ..
2022-04-02 17:26:52
219
c#.net启动动画和更滑皮肤界面不能正常显示
2018-12-15
C#.net无法获取我的键盘事件?
2018-11-01
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