Summary of Provable Privacy Attacks on Trained Shallow Neural Networks, by Guy Smorodinsky and Gal Vardi and Itay Safran
Provable Privacy Attacks on Trained Shallow Neural Networksby Guy Smorodinsky, Gal Vardi, Itay SafranFirst submitted…
Provable Privacy Attacks on Trained Shallow Neural Networksby Guy Smorodinsky, Gal Vardi, Itay SafranFirst submitted…
Mechanistic Permutability: Match Features Across Layersby Nikita Balagansky, Ian Maksimov, Daniil GavrilovFirst submitted to arxiv…
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inferenceby Jianxing Yu, Shiqi Wang, Han…
Can Transformers Reason Logically? A Study in SAT Solvingby Leyan Pan, Vijay Ganesh, Jacob Abernethy,…
Zero-Shot Generalization of Vision-Based RL Without Data Augmentationby Sumeet Batra, Gaurav S. SukhatmeFirst submitted to…
Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gapby Georgia Channing, Juil Sock, Ronald…
KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detectionby Md Abrar Jahin,…
Collective variables of neural networks: empirical time evolution and scaling lawsby Samuel Tovey, Sven Krippendorf,…
SAGE: Scalable Ground Truth Evaluations for Large Sparse Autoencodersby Constantin Venhoff, Anisoara Calinescu, Philip Torr,…
Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formationby Jinwook Rhyu, Joachim…