Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models

24 May 2023

Papers citing "Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models"

23 / 23 papers shown

Title
A Survey on Privacy Risks and Protection in Large Language Models Kang Chen Xiuze Zhou Yuanguo Lin Shibo Feng Li Shen Pengcheng Wu AILaw PILM 141 0 0 04 May 2025
NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation Rob Romijnders Stefanos Laskaridis Ali Shahin Shamsabadi Hamed Haddadi 57 0 0 25 Apr 2025
DP-GPL: Differentially Private Graph Prompt Learning Jing Xu Franziska Boenisch Iyiola Emmanuel Olatunji Adam Dziedzic AAML 51 0 0 13 Mar 2025
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding Mo Yu Lemao Liu J. Wu Tsz Ting Chung Shunchi Zhang JiangNan Li Dit-Yan Yeung Jie Zhou 85 1 0 13 Feb 2025
Interacting Large Language Model Agents. Interpretable Models and Social Learning Adit Jain Vikram Krishnamurthy LLMAG 37 0 0 02 Nov 2024
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning Fengyu Gao Ruida Zhou T. Wang Cong Shen Jing Yang 29 2 0 15 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 78 1 0 09 Oct 2024
Ward: Provable RAG Dataset Inference via LLM Watermarks Nikola Jovanović Robin Staab Maximilian Baader Martin Vechev 136 1 0 04 Oct 2024
Show, Don't Tell: Evaluating Large Language Models Beyond Textual Understanding with ChildPlay Gonçalo Hora de Carvalho Oscar Knap R. Pollice ReLM ELM LRM 34 1 0 12 Jul 2024
Private Fine-tuning of Large Language Models with Zeroth-order Optimization Xinyu Tang Ashwinee Panda Milad Nasr Saeed Mahloujifar Prateek Mittal 44 18 0 09 Jan 2024
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer Junyuan Hong Jiachen T. Wang Chenhui Zhang Zhangheng Li Bo-wen Li Zhangyang Wang 42 29 0 27 Nov 2023
Privately Aligning Language Models with Reinforcement Learning Fan Wu Huseyin A. Inan A. Backurs Varun Chandrasekaran Janardhan Kulkarni Robert Sim 29 6 0 25 Oct 2023
Memorization in NLP Fine-tuning Methods Fatemehsadat Mireshghallah Archit Uniyal Tianhao Wang David E. Evans Taylor Berg-Kirkpatrick AAML 61 39 0 25 May 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 238 805 0 14 Oct 2021
Differentially Private Fine-tuning of Language Models Da Yu Saurabh Naik A. Backurs Sivakanth Gopi Huseyin A. Inan ... Y. Lee Andre Manoel Lukas Wutschitz Sergey Yekhanin Huishuai Zhang 134 346 0 13 Oct 2021
How BPE Affects Memorization in Transformers Eugene Kharitonov Marco Baroni Dieuwke Hupkes 161 32 0 06 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,844 0 18 Apr 2021
CaPC Learning: Confidential and Private Collaborative Learning Christopher A. Choquette-Choo Natalie Dullerud Adam Dziedzic Yunxiang Zhang S. Jha Nicolas Papernot Xiao Wang FedML 59 57 0 09 Feb 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,312 0 17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,918 0 31 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 1,814 0 14 Dec 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 415 2,584 0 03 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,956 0 20 Apr 2018