ai-sec.net valuation and analysis
Robots.txt Information
| Robot | Path | Permission |
| GoogleBot | / | ✔ |
| BingBot | / | ✔ |
| BaiduSpider | / | ✔ |
| YandexBot | / | ✔ |
Meta Tags
| Title | 16th ACM Workshop on Artificial Intelligence and Security (AISec |
| Description | Call for AI and Security Workshop |
| Keywords | Deep Learning, Machine Learning, Security, Adversarial Examples, Attacks, Intrusion Detection, Program Analysis, Malware, Botnets, Vulnerability, Phishing, Forensics, Neural Networks, Recurrent Networks, Generative Adversarial Networks |
Server Information
| WebSite | |
| Host IP | 15.197.142.173 |
| Location | United States |
Related Websites
| Site | Rank |
More to Explore
ai-sec.net Valuation
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US$1,911
Last updated: 2023-05-15 07:29:04
ai-sec.net has Semrush global rank of 0. ai-sec.net has an estimated worth of US$ 1,911, based on its estimated Ads revenue. ai-sec.net receives approximately 220 unique visitors each day. Its web server is located in United States, with IP address 15.197.142.173. According to SiteAdvisor, ai-sec.net is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$1,911 |
| Daily Ads Revenue | US$1 |
| Monthly Ads Revenue | US$52 |
| Yearly Ads Revenue | US$635 |
| Daily Unique Visitors | 14 |
| Note: All traffic and earnings values are estimates. | |
DNS Records
| Host | Type | TTL | Data |
| ai-sec.net. | A | 600 | IP: 15.197.142.173 |
| ai-sec.net. | A | 600 | IP: 3.33.152.147 |
| ai-sec.net. | NS | 3600 | NS Record: ns39.domaincontrol.com. |
| ai-sec.net. | NS | 3600 | NS Record: ns40.domaincontrol.com. |
| ai-sec.net. | MX | 3600 | MX Record: 0 smtp.secureserver.net. |
| ai-sec.net. | MX | 3600 | MX Record: 10 mailstore1.secureserver.net. |
HtmlToTextCheckTime:2023-05-15 07:29:04
| AISec 2023 Menu Home Keynote --> Programme --> Call for Papers Best Paper Award --> Committee ACM CCS 16 th ACM Workshop on Artificial Intelligence and Security November 30, 2023 — Copenhagen co-located with the 30th ACM Conference on Computer and Communications Security Photo: Pixabay Keynote Title: Protecting (and breaking) dataset privacy in computer vision and federated learning Tom Goldstein, University of Maryland, USA Abstract In this talk, I’ll discuss ways that adversarial methods can be used to attack dataset privacy. Unlike conventional "adversarial attacks" that seek to flip the label that comes out of a neural network, I’ll present a slate of adversarial methods that can be used to extract training data from models or force federated learning systems to leak the personal training data of their clients via publicly visible gradient updates. I’ll also discuss how adversarial methods can be used to de-incentivize the scraping of personal data for unauthorized use by |
HTTP Headers
HTTP/1.1 405 Not Allowed Server: awselb/2.0 Date: Sun, 26 Dec 2021 08:58:40 GMT Content-Length: 0 Connection: keep-alive WAFRule: HTTPMethodNOTAllowed |
ai-sec.net Whois Information
Domain Name: AI-SEC.NET Registry Domain ID: 2116341973_DOMAIN_NET-VRSN Registrar WHOIS Server: whois.godaddy.com Registrar URL: http://www.godaddy.com Updated Date: 2017-04-21T06:55:51Z Creation Date: 2017-04-21T06:55:51Z Registry Expiry Date: 2022-04-21T06:55:51Z Registrar: GoDaddy.com, LLC Registrar IANA ID: 146 Registrar Abuse Contact Email: abuse@godaddy.com Registrar Abuse Contact Phone: 480-624-2505 Domain Status: clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited Domain Status: clientRenewProhibited https://icann.org/epp#clientRenewProhibited Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited Domain Status: clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited Name Server: NS39.DOMAINCONTROL.COM Name Server: NS40.DOMAINCONTROL.COM DNSSEC: unsigned >>> Last update of whois database: 2021-12-29T07:51:36Z <<< |