The poison of dimensionality
Authors: Lê-Nguyên Hoang | Published: 2024-09-25
Loss Function
Approximating Two-Layer ReLU Networks for Hidden State Analysis in Differential Privacy
Authors: Antti Koskela | Published: 2024-07-05 | Updated: 2024-10-11
Robust Distribution Learning with Local and Global Adversarial Corruptions
Authors: Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee | Published: 2024-06-10 | Updated: 2024-06-24
Cross-Input Certified Training for Universal Perturbations
Authors: Changming Xu, Gagandeep Singh | Published: 2024-05-15 | Updated: 2024-09-09
Revisiting Character-level Adversarial Attacks for Language Models
Authors: Elias Abad Rocamora, Yongtao Wu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher | Published: 2024-05-07 | Updated: 2024-09-04
Layered Uploading for Quantum Convolutional Neural Networks
Authors: Grégoire Barrué, Tony Quertier, Orlane Zang | Published: 2024-04-15 | Updated: 2025-05-13
Goldfish: An Efficient Federated Unlearning Framework
Authors: Houzhe Wang, Xiaojie Zhu, Chi Chen, Paulo Esteves-Veríssimo | Published: 2024-04-04 | Updated: 2024-04-23
Shifted Interpolation for Differential Privacy
Authors: Jinho Bok, Weijie Su, Jason M. Altschuler | Published: 2024-03-01 | Updated: 2024-06-12
A High Dimensional Statistical Model for Adversarial Training: Geometry and Trade-Offs
Authors: Kasimir Tanner, Matteo Vilucchio, Bruno Loureiro, Florent Krzakala | Published: 2024-02-08 | Updated: 2024-12-27
Practical, Private Assurance of the Value of Collaboration via Fully Homomorphic Encryption
Authors: Hassan Jameel Asghar, Zhigang Lu, Zhongrui Zhao, Dali Kaafar | Published: 2023-10-04 | Updated: 2024-10-07