Conventional Backdoor Attacks and Gradient based attacks on LSTM Models with Attention: Are They…
Tags
country: | France |
attack-pattern: | Data Model Models Vulnerabilities - T1588.006 |
Common Information
Type | Value |
---|---|
UUID | 79e2a012-1dd4-47c8-bfbc-a23dd6958cfe |
Fingerprint | 2712da164533ca15 |
Analysis status | DONE |
Considered CTI value | 0 |
Text language | |
Published | Nov. 13, 2024, 9:44 p.m. |
Added to db | Nov. 13, 2024, 11:13 p.m. |
Last updated | Nov. 17, 2024, 6:45 p.m. |
Headline | Conventional Backdoor Attacks and Gradient based attacks on LSTM Models with Attention: Are They Effective? |
Title | Conventional Backdoor Attacks and Gradient based attacks on LSTM Models with Attention: Are They… |
Detected Hints/Tags/Attributes | 37/2/6 |
Source URLs
URL Provider
RSS Feed
Details | Id | Enabled | Feed title | Url | Added to db |
---|---|---|---|---|---|
Details | 167 | ✔ | Cybersecurity on Medium | https://medium.com/feed/tag/cybersecurity | 2024-08-30 22:08 |
Attributes
Details | Type | #Events | CTI | Value |
---|---|---|---|---|
Details | Domain | 2 | colah.github.io |
|
Details | Domain | 154 | arxiv.org |
|
Details | Domain | 434 | medium.com |
|
Details | Url | 1 | https://colah.github.io/posts/2015-08-understanding-lstms |
|
Details | Url | 1 | https://arxiv.org/abs/1905.12457 |
|
Details | Url | 1 | https://medium.com/analytics-vidhya/introduction-to-long-short-term-memory-lstm-a8052cd0d4cd |