找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Computer Security. ESORICS 2023 International Workshops; CyberICS, DPM, CBT, Sokratis Katsikas,Frédéric Cuppens,Stefanos Gritza Conference

[復(fù)制鏈接]
樓主: melancholy
31#
發(fā)表于 2025-3-26 23:52:54 | 只看該作者
Synthetic Is All You Need: Removing the?Auxiliary Data Assumption for?Membership Inference Attacks Ae attacks (MIAs), based on shadow modeling, have become the standard to evaluate the privacy of synthetic data, they currently assume the attacker to have access to an auxiliary dataset sampled from a similar distribution as the training dataset. This is often seen as a very strong assumption in pra
32#
發(fā)表于 2025-3-27 04:47:46 | 只看該作者
33#
發(fā)表于 2025-3-27 07:56:59 | 只看該作者
34#
發(fā)表于 2025-3-27 12:30:31 | 只看該作者
35#
發(fā)表于 2025-3-27 17:30:09 | 只看該作者
36#
發(fā)表于 2025-3-27 21:29:19 | 只看該作者
Differentially Private Traffic Flow Prediction Using Transformers: A Federated Approachisting traffic flow prediction techniques using deep learning, mostly LSTMs, have achieved enormous success based on the large traffic flow datasets collected by governments and different organizations. Nevertheless, a lot of these datasets contain sensitive attributes that may relate to users’ priv
37#
發(fā)表于 2025-3-28 00:57:11 | 只看該作者
Analyzing Continuous K,-Anonymization for?Smart Meter Data evaluated in the context of a dataset to make meaningful statements about their eligibility for a particular use case. In this paper, we therefore analyze the suitability of continuous .-anonymization with CASTLE for data streams generated by smart meters. We compare CASTLE ’s continuous, piecewise
38#
發(fā)表于 2025-3-28 04:16:31 | 只看該作者
39#
發(fā)表于 2025-3-28 07:54:23 | 只看該作者
METRICS: A Methodology for?Evaluating and?Testing the?Resilience of?Industrial Control Systems to?Cyng ICS testbeds by enabling the configuration of measurement campaigns for comprehensive resilience evaluations. Therefore, the user specifies individual evaluation scenarios consisting of cyberattacks and countermeasures while facilitating manual and automatic interventions. Moreover, . provides do
40#
發(fā)表于 2025-3-28 13:05:10 | 只看該作者
Skade – A Challenge Management System for?Cyber Threat Huntinglators are presented, e.g. the data they need to provide to enable generation of feedback to trainees. Seven required functions are identified, e.g. the ability to produce assessment questions based on logs from emulators.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-14 04:47
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
独山县| 湘西| 额敏县| 永丰县| 宽甸| 上高县| 桦甸市| 宿松县| 长武县| 黑河市| 淄博市| 高州市| 府谷县| 札达县| 虎林市| 罗平县| 濉溪县| 绵竹市| 新田县| 皋兰县| 伊金霍洛旗| 雅江县| 建昌县| 灌云县| 宜昌市| 浪卡子县| 宁波市| 磐安县| 当涂县| 闽侯县| 遵义县| 淳安县| 资溪县| 大田县| 阳朔县| 伊通| 阿图什市| 定兴县| 阜宁县| 瑞安市| 云梦县|