We propose our Mnemonist method, which is able to detect redundant model parameters, and then guide current attacks to focus on informative parameters.
Building on this, we propose our Mnemonist method, which is able to detect redundant model parameters, and then guide current attacks to focus on informative.
[PDF] Mnemonist: Locating Model Parameters that Memorize ...
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The Mnemonist method is proposed, which is able to detect redundant model parameters, and then guide current attacks to focus on informative parameters to ...
Jul 31, 2023 · Building on this, we propose our Mnemonist method, which is able to detect redundant model parameters, and then guide current attacks to focus ...
Mnemonist: Locating Model Parameters that Memorize Training Examples. Published in 39th Conference on Uncertainty in Artificial Intelligence (UAI), 2023 ...
Apr 27, 2022 · You can evaluate a held-out test set on reconstruction performance to make sure that it's not just memorizing training images, but you can also generate new ...
Missing: Mnemonist: Parameters
Mnemonist: Locating Model Parameters that Memorize Training Examples. Ali Shahin Shamsabadi, Jamie Hayes, Borja Balle,Adrian Weller. 39th Conference on ...
May 8, 2023 · ... Mnemonist: Locating Model Parameters that Memorize Training Examples” got accepted to @UncertaintyInAI! A joint work between @DeepMind ...
May 8, 2024 · A transformer trained for a single epoch can recall facts that only appear a single time in the training dataset.
Missing: Mnemonist: | Show results with:Mnemonist:
Publications · Confidential-DPproof : Confidential Proof Of Differentially Private Training · Mnemonist: Locating Model Parameters that Memorize Training Examples.