Victor Rühle

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	TURBOATTENTION: Efficient Attention Approximation For High Throughputs LLMs	2024	Hao Kang Srikant Bharadwaj James Hensman Tushar Krishna Victor Rühle Saravan Rajmohan
+ PDF Chat	Ensuring Fair LLM Serving Amid Diverse Applications	2024	Redwan Ibne Seraj Khan Kunal Jain Haiying Shen Ankur Mallick Anjaly Parayil Anoop Kulkarni Steve Kofsky Pankhuri Choudhary Renée St. Amant Rujia Wang
+ PDF Chat	EcoAct: Economic Agent Determines When to Register What Action	2024	Shaokun Zhang Jieyu Zhang Dujian Ding Mirian Hipolito Garcia Ankur Mallick Daniel Madrigal Menglin Xia Victor Rühle Qing‐Yun Wu Chi Ma
+ PDF Chat	TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning	2024	Shivam Shandilya Menglin Xia Supriyo Ghosh Huiqiang Jiang Jue Zhang Qianhui Wu Victor Rühle
+ PDF Chat	Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling	2024	Kunal Jain Anjaly Parayil Ankur Mallick Esha Choukse Xiaoting Qin Jue Zhang Íñigo Goiri Rujia Wang Chetan Bansal Victor Rühle
+ PDF Chat	Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers	2024	Rya Sanovar Srikant Bharadwaj Renée St. Amant Victor Rühle Saravan Rajmohan
+ PDF Chat	LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression	2024	Zhuoshi Pan Qianhui Wu Huiqiang Jiang Menglin Xia Xufang Luo Jue Zhang Qingwei Lin Victor Rühle Yuqing Yang Chin-Yew Lin
+	Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning	2024	Lu Wang Mayukh Das Fangkai Yang Junjie Sheng Bo Qiao Hang Dong Si Qin Victor Rühle Chetan Bansal Eli Cortez
+	Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance	2023	Xuchao Zhang Menglin Xia Camille Couturier Guo‐qing Zheng Saravan Rajmohan Victor Rühle
+	Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective	2023	Lukas Wutschitz Boris Köpf Andrew Paverd Saravan Rajmohan Ahmed Salem Shruti Tople Santiago Zanella-Béguelin Menglin Xia Victor Rühle
+	Unlocking Spatial Comprehension in Text-to-Image Diffusion Models	2023	Mohammad Mahdi Derakhshani Menglin Xia Harkirat Singh Behl Cees G. M. Snoek Victor Rühle
+	Bayesian Estimation of Differential Privacy	2022	Santiago Zanella-Béguelin Lukas Wutschitz Shruti Tople Ahmed Salem Victor Rühle Andrew Paverd Mohammad Naseri Boris Köpf
+	Privacy Analysis in Language Models via Training Data Leakage Report.	2021	Huseyin A. Inan Osman Ramadan Lukas Wutschitz Daniel N. Jones Victor Rühle James Withers Robert B. Sim
+	Training Data Leakage Analysis in Language Models	2021	Huseyin A. Inan Osman Ramadan Lukas Wutschitz Daniel N. Jones Victor Rühle James Withers Robert B. Sim
+	Privacy Regularization: Joint Privacy-Utility Optimization in Language Models	2021	Fatemehsadat Mireshghallah Huseyin A. Inan Marcello Hasegawa Victor Rühle Taylor Berg-Kirkpatrick Robert B. Sim
+ PDF Chat	Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels	2021	Fatemehsadat Mireshghallah Huseyin A. Inan Marcello Hasegawa Victor Rühle Taylor Berg-Kirkpatrick Robert B. Sim
+ PDF Chat	Analyzing Information Leakage of Updates to Natural Language Models	2020	Santiago Zanella-Béguelin Lukas Wutschitz Shruti Tople Victor Rühle Andrew Paverd Olga Ohrimenko Boris Köpf Marc Brockschmidt

Common Coauthors

Coauthor	Papers Together
Menglin Xia	6
Lukas Wutschitz	5
Saravan Rajmohan	4
Robert B. Sim	4
Huseyin A. Inan	4
Andrew Paverd	3
Saravan Rajmohan	3
Jue Zhang	3
Shruti Tople	3
Ankur Mallick	3
Boris Köpf	3
Chetan Bansal	3
Santiago Zanella-Béguelin	3
Huiqiang Jiang	2
Anoop Kulkarni	2
Renée St. Amant	2
Fatemehsadat Mireshghallah	2
Qingwei Lin	2
Íñigo Goiri	2
Ahmed Salem	2
Srikant Bharadwaj	2
Steve Kofsky	2
Anjaly Parayil	2
Taylor Berg-Kirkpatrick	2
Daniel N. Jones	2
Marcello Hasegawa	2
James Withers	2
Osman Ramadan	2
Harkirat Singh Behl	1
Dujian Ding	1
Junjie Sheng	1
Chin-Yew Lin	1
Rya Sanovar	1
Dongmei Zhang	1
Dongmei Zhang	1
Lu Wang	1
Xufang Luo	1
Yuqing Yang	1
Chi Ma	1
H. Vicky Zhao	1
Fangkai Yang	1
Mohammad Naseri	1
Supriyo Ghosh	1
Xiaoting Qin	1
Xuchao Zhang	1
Hao Kang	1
Guo‐qing Zheng	1
Qing‐Yun Wu	1
Jieyu Zhang	1
Zhuoshi Pan	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks	2018	Nicholas Carlini Chang Liu Úlfar Erlingsson Jernej Kos Dawn Song	5
+ PDF Chat	Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting	2018	Samuel Yeom Irene Giacomelli Matt Fredrikson Somesh Jha	5
+	Auditing Data Provenance in Text-Generation Models	2019	Congzheng Song Vitaly Shmatikov	4
+ PDF Chat	Membership Inference Attacks Against Machine Learning Models	2017	Reza Shokri Marco Stronati Congzheng Song Vitaly Shmatikov	4
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	4
+	ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models	2019	Ahmed Salem Shuicheng Yan Mathias Humbert Pascal Berrang Mario Fritz Michael Backes	3
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+	Differentially Private Learning Needs Better Features (or Much More Data)	2020	Florian Tramèr Dan Boneh	3
+	Conversational Contextual Cues: The Case of Personalization and History for Response Ranking	2016	Rami Al‐Rfou Marc Pickett Javier Snaider Yun-Hsuan Sung Brian Strope	2
+ PDF Chat	Power laws, Pareto distributions and Zipf's law	2005	MEJ Newman	2
+ PDF Chat	Deep Learning with Gaussian Differential Privacy	2020	Zhiqi Bu Jinshuo Dong Qi Long SU Wei-Jie	2
+	Training Production Language Models without Memorizing User Data	2020	Swaroop Ramaswamy Om Thakkar Rajiv Mathews Galen Andrew H. Brendan McMahan Françoise Beaufays	2
+	Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization	2020	Pranav Subramani Nicholas Vadivelu Gautam Kamath	2
+ PDF Chat	Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?	2020	Sorami Hisamoto Matt Post Kevin Duh	2
+	Training Data Leakage Analysis in Language Models	2021	Huseyin A. Inan Osman Ramadan Lukas Wutschitz Daniel N. Jones Victor Rühle James Withers Robert B. Sim	2
+	Learning Differentially Private Recurrent Language Models	2017	H. Brendan McMahan Daniel Ramage Kunal Talwar Li Zhang	2
+	Towards Robust and Privacy-preserving Text Representations	2018	Yitong Li Timothy Baldwin Trevor Cohn	2
+ PDF Chat	Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics	2017	Xi Wu Fengan Li Arun Kumar Kamalika Chaudhuri Somesh Jha Jeffrey F. Naughton	2
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	2
+ PDF Chat	Privacy-preserving Neural Representations of Text	2018	Maximin Coavoux Shashi Narayan Shay B. Cohen	2
+	Language Models as Knowledge Bases?	2019	Fabio Petroni Tim Rocktäschel Sebastian Riedel Patrick Lewis Anton Bakhtin Yuxiang Wu Alexander Miller	2
+	A General Approach to Adding Differential Privacy to Iterative Training Procedures	2018	Brendan McMahan Galen Andrew Ilya Mironov Nicolas Papernot Peter Kairouz Steve Chien Úlfar Erlingsson	2
+ PDF Chat	Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations	2019	Tianlu Wang Jieyu Zhao Mark Yatskar Kai-Wei Chang Vicente Ordóñez	2
+	Fair decision making using privacy-protected data	2020	David Saurı́ Ryan McKenna Satya Kuppam Michael Hay Ashwin Machanavajjhala Gerome Miklau	2
+	Privacy in Deep Learning: A Survey	2020	Fatemehsadat Mireshghallah Mohammadkazem Taram Praneeth Vepakomma Abhishek Singh Ramesh Raskar Hadi Esmaeilzadeh	2
+ PDF Chat	Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning	2019	Milad Nasr Reza Shokri Amir Houmansadr	2
+	ERNIE: Enhanced Representation through Knowledge Integration	2019	Yu Sun Shuohuan Wang Yukun Li Shikun Feng Xuyi Chen Han Zhang Xin Tian Danxiang Zhu Hao Tian Hua Wu	2
+	Does learning require memorization? a short tale about a long tail	2020	Vitaly Feldman	2
+	A General Approach to Adding Differential Privacy to Iterative Training Procedures	2018	H. Brendan McMahan Galen Andrew Úlfar Erlingsson Steve Chien Ilya Mironov Nicolas Papernot Peter Kairouz	1
+	Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing.	2014	Matt Fredrikson Éric Lantz Somesh Jha Simon Lin David Page Thomas Ristenpart	1
+	Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization	2020	Pranav Subramani Nicholas Vadivelu Gautam Kamath	1
+	Recurrent Neural Network Regularization	2014	Wojciech Zaremba Ilya Sutskever Oriol Vinyals	1
+	Pointer Sentinel Mixture Models	2016	Stephen Merity Caiming Xiong James Bradbury Richard Socher	1
+	Understanding Membership Inferences on Well-Generalized Learning Models	2018	Yunhui Long Vincent Bindschaedler Lei Wang Diyue Bu Xiaofeng Wang Haixu Tang Carl A. Gunter Kai Chen	1
+	Deep contextualized word representations	2018	Matthew E. Peters Mark E Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer	1
+	Towards Demystifying Membership Inference Attacks	2018	Stacey Truex Ling Liu Mehmet Emre Gürsoy Lei Yu Wenqi Wei	1
+ PDF Chat	LOGAN: Membership Inference Attacks Against Generative Models	2018	Jamie Hayes Luca Melis George Danezis Emiliano De Cristofaro	1
+	White-box vs Black-box: Bayes Optimal Strategies for Membership Inference	2019	Alexandre Sablayrolles Matthijs Douze Yann Ollivier Cordelia Schmid Hervé Jeǵou	1
+	Gmail Smart Compose: Real-Time Assisted Writing	2019	Mia Xu Chen Benjamin N. Lee Gagan Bansal Yuan Cao Shuyuan Zhang Justin Lu Jackie Tsay Yi-Nan Wang Andrew M. Dai Zhifeng Chen	1
+	Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning	2017	Briland Hitaj Giuseppe Ateniese Fernando Pérez‐Cruz	1
+	One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling	2013	Ciprian Chelba Tomáš Mikolov Mike Schuster Qi Ge Thorsten Brants Phillipp Koehn Tony Robinson	1
+ PDF Chat	Universal Language Model Fine-tuning for Text Classification	2018	Jeremy Howard Sebastian Ruder	1
+	XLNet: Generalized Autoregressive Pretraining for Language Understanding	2019	Zhilin Yang Zihang Dai Yiming Yang Jaime Carbonell Ruslan Salakhutdinov Quoc V. Le	1
+	Making AI Forget You: Data Deletion in Machine Learning	2019	Antonio Ginart Melody Y. Guan Gregory Valiant James Zou	1
+ PDF Chat	Analyzing Information Leakage of Updates to Natural Language Models	2020	Santiago Zanella-Béguelin Lukas Wutschitz Shruti Tople Victor Rühle Andrew Paverd Olga Ohrimenko Boris Köpf Marc Brockschmidt	1
+	Language Models are Few-Shot Learners	2020	T. B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell	1
+	Certified Data Removal from Machine Learning Models	2019	Chuan Guo Tom Goldstein Awni Hannun Laurens van der Maaten	1
+ PDF Chat	Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks	2020	Aditya Golatkar Alessandro Achille Stefano Soatto	1
+	ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning	2020	Sasi Kumar Murakonda Reza Shokri	1
+	Label-Only Membership Inference Attacks	2020	Christopher A. Choquette-Choo Florian Tramèr Nicholas Carlini Nicolas Papernot	1