Title
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook Mingyuan Fan Chengyu Wang Cen Chen Yang Liu Jun Huang HILM 39 3 0 31 Jul 2023
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution Elen Vardanyan Sona Hunanyan T. Galstyan A. Minasyan A. Dalalyan 37 2 0 31 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 34 48 0 16 Jul 2023
On The Impact of Machine Learning Randomness on Group Fairness Prakhar Ganesh Hong Chang Martin Strobel Reza Shokri FaML 33 30 0 09 Jul 2023
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology Marco Aversa Gabriel Nobis Miriam Hagele Kai Standvoss Mihaela Chirica ... D. Ivanova Wojciech Samek Frederick Klauschen B. Sanguinetti Luis Oala MedIm 27 19 0 23 Jun 2023
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Understanding and Mitigating Copying in Diffusion Models Gowthami Somepalli Vasu Singla Micah Goldblum Jonas Geiping Tom Goldstein DiffM 20 125 0 31 May 2023
Quantifying Overfitting: Evaluating Neural Network Performance through Analysis of Null Space Hossein Rezaei Mohammad Sabokrou 16 3 0 30 May 2023
Ambient Diffusion: Learning Clean Distributions from Corrupted Data Giannis Daras Kulin Shah Y. Dagan Aravind Gollakota A. Dimakis Adam R. Klivans DiffM 45 67 0 30 May 2023
Training Data Extraction From Pre-trained Language Models: A Survey Shotaro Ishihara 29 46 0 25 May 2023
Prefix Propagation: Parameter-Efficient Tuning for Long Sequences Jonathan Li Will Aitken R. Bhambhoria Xiao-Dan Zhu 17 14 0 20 May 2023
PaLM 2 Technical Report Rohan Anil Andrew M. Dai Orhan Firat Melvin Johnson Dmitry Lepikhin ... Ce Zheng Wei Zhou Denny Zhou Slav Petrov Yonghui Wu ReLM LRM 110 1,148 0 17 May 2023
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models Aldo G. Carranza Rezsa Farahani Natalia Ponomareva Alexey Kurakin Matthew Jagielski Milad Nasr SyDa 25 7 0 10 May 2023
Emergent and Predictable Memorization in Large Language Models Stella Biderman USVSN Sai Prashanth Lintang Sutawika Hailey Schoelkopf Quentin G. Anthony Shivanshu Purohit Edward Raf 29 116 0 21 Apr 2023
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling Stella Biderman Hailey Schoelkopf Quentin G. Anthony Herbie Bradley Kyle O'Brien ... USVSN Sai Prashanth Edward Raff Aviya Skowron Lintang Sutawika Oskar van der Wal 36 1,174 0 03 Apr 2023
Computationally Budgeted Continual Learning: What Does Matter? Ameya Prabhu Hasan Hammoud P. Dokania Philip Torr Ser-Nam Lim Guohao Li Adel Bibi CLL 36 62 0 20 Mar 2023
Secret-Keeping in Question Answering Nathaniel W. Rollings Kent O'Sullivan Sakshum Kulshrestha KELM 30 0 0 16 Mar 2023
Tight Auditing of Differentially Private Machine Learning Milad Nasr Jamie Hayes Thomas Steinke Borja Balle Florian Tramèr Matthew Jagielski Nicholas Carlini Andreas Terzis FedML 35 52 0 15 Feb 2023
Bag of Tricks for Training Data Extraction from Language Models Weichen Yu Tianyu Pang Qian Liu Chao Du Bingyi Kang Yan Huang Min-Bin Lin Shuicheng Yan 21 47 0 09 Feb 2023
Analyzing Leakage of Personally Identifiable Information in Language Models Nils Lukas A. Salem Robert Sim Shruti Tople Lukas Wutschitz Santiago Zanella Béguelin PILM 24 211 0 01 Feb 2023
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models Gowthami Somepalli Vasu Singla Micah Goldblum Jonas Geiping Tom Goldstein 26 303 0 07 Dec 2022
Understanding How Model Size Affects Few-shot Instruction Prompting Ayrton San Joaquin Ardy Haroen 18 0 0 04 Dec 2022
Data Origin Inference in Machine Learning Mingxue Xu Xiang-Yang Li 25 3 0 24 Nov 2022
Large Language Models Struggle to Learn Long-Tail Knowledge Nikhil Kandpal H. Deng Adam Roberts Eric Wallace Colin Raffel RALM KELM 41 382 0 15 Nov 2022
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries Yuxin Wen Arpit Bansal Hamid Kazemi Eitan Borgnia Micah Goldblum Jonas Geiping Tom Goldstein MIACV 39 30 0 19 Oct 2022
Knowledge Unlearning for Mitigating Privacy Risks in Language Models Joel Jang Dongkeun Yoon Sohee Yang Sungmin Cha Moontae Lee Lajanugen Logeswaran Minjoon Seo KELM PILM MU 147 191 0 04 Oct 2022
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 242 593 0 14 Jul 2021
Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Avinash Ravichandran M. Polito Stefano Soatto CLL MU 130 159 0 24 Dec 2020
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 290 1,815 0 14 Dec 2020
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 69 148 0 01 May 2018