透かし評価

DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation

Authors: Yunjuan Wang, Hussein Hazimeh, Natalia Ponomareva, Alexey Kurakin, Ibrahim Hammoud, Raman Arora | Published: 2024-02-16
アルゴリズム
敵対的訓練
透かし評価

Private PAC Learning May be Harder than Online Learning

Authors: Mark Bun, Aloni Cohen, Rathin Desai | Published: 2024-02-16
ウォーターマーキング
オンライン学習
透かし評価

Measuring and Reducing LLM Hallucination without Gold-Standard Answers

Authors: Jiaheng Wei, Yuanshun Yao, Jean-Francois Ton, Hongyi Guo, Andrew Estornell, Yang Liu | Published: 2024-02-16 | Updated: 2024-06-06
Few-Shot Learning
ハルシネーションの検知
透かし評価

How Much Does Each Datapoint Leak Your Privacy? Quantifying the Per-datum Membership Leakage

Authors: Achraf Azize, Debabrota Basu | Published: 2024-02-15
メンバーシップ推論
仮説検定
透かし評価

CycPUF: Cyclic Physical Unclonable Function

Authors: Michael Dominguez, Amin Rezaei | Published: 2024-02-12
FPGA
PUFの評価手法
透かし評価

ACW: Enhancing Traceability of AI-Generated Codes Based on Watermarking

Authors: Boquan Li, Mengdi Zhang, Peixin Zhang, Jun Sun, Xingmei Wang, Zirui Fu | Published: 2024-02-12 | Updated: 2024-08-21
アルゴリズム
ウォーターマーキング
透かし評価

LIPSTICK: Corruptibility-Aware and Explainable Graph Neural Network-based Oracle-Less Attack on Logic Locking

Authors: Yeganeh Aghamohammadi, Amin Rezaei | Published: 2024-02-06
GNN
モデルの解釈性
透かし評価

PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network

Authors: Tan Sun, Junhong Lin | Published: 2024-02-06 | Updated: 2024-07-06
GNN
敵対的サンプル
透かし評価

Verifiable evaluations of machine learning models using zkSNARKs

Authors: Tobin South, Alexander Camuto, Shrey Jain, Shayla Nguyen, Robert Mahari, Christian Paquin, Jason Morton, Alex 'Sandy' Pentland | Published: 2024-02-05 | Updated: 2024-05-22
モデル性能評価
透かし評価
透明性と検証

Wasserstein Differential Privacy

Authors: Chengyi Yang, Jiayin Qi, Aimin Zhou | Published: 2024-01-23
ウォーターマーキング
プライバシー保護手法
透かし評価