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Abstract
Understanding the capabilities of adversaries (e.g., how much the adversary knows about a target) is important for building strong security defenses. Computing an adversary's knowledge about a target requires new modeling techniques and experimental methods.
Our work describes a quantitative anal
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 10:17 |
| Last Modified: | 17 Apr 2026 19:57 |
| URI: | http://eprints.eai.eu/id/eprint/11785 |
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