Understanding Black-box Predictions via Influence Functions

14 March 2017

Pang Wei Koh

Papers citing "Understanding Black-box Predictions via Influence Functions"

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$$\texttt{dattri}$: A Library for Efficient Data Attribution$ $\texttt{dattri}$ : A Library for Efficient Data Attribution Junwei Deng Ting-Wei Li Shiyuan Zhang Shixuan Liu Yijun Pan Hao Huang Xinhe Wang Pingbang Hu Xingjian Zhang Jiaqi W. Ma TDI 42 3 0 06 Oct 2024
How Much Can We Forget about Data Contamination? Sebastian Bordt Suraj Srinivas Valentyn Boreiko U. V. Luxburg 54 1 0 04 Oct 2024
Permissive Information-Flow Analysis for Large Language Models Shoaib Ahmed Siddiqui Radhika Gaonkar Boris Köpf David M. Krueger Andrew Paverd Ahmed Salem Shruti Tople Lukas Wutschitz Menglin Xia Santiago Zanella Béguelin 43 1 0 04 Oct 2024
Timber! Poisoning Decision Trees Stefano Calzavara Lorenzo Cazzaro Massimo Vettori AAML 35 0 0 01 Oct 2024
Revisiting inverse Hessian vector products for calculating influence functions Yegor Klochkov Yang Liu TDI LLMSV 39 1 0 25 Sep 2024
Alignment of Diffusion Models: Fundamentals, Challenges, and Future Buhua Liu Shitong Shao Bao Li Lichen Bai Zhiqiang Xu Haoyi Xiong James Kwok Sumi Helal Zeke Xie 49 12 0 11 Sep 2024
Adversarial Attacks on Data Attribution Xinhe Wang Pingbang Hu Junwei Deng Jiaqi W. Ma TDI 71 0 0 09 Sep 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers Asifullah Khan A. Sohail M. Fiaz Mehdi Hassan Tariq Habib Afridi ... Muhammad Zaigham Zaheer Kamran Ali Tangina Sultana Ziaurrehman Tanoli Naeem Akhter 48 3 0 30 Aug 2024
Fast Training Dataset Attribution via In-Context Learning Milad Fotouhi M. T. Bahadori Oluwaseyi Feyisetan P. Arabshahi David Heckerman 41 0 0 14 Aug 2024
Robustness of Watermarking on Text-to-Image Diffusion Models Xiaodong Wu Xiangman Li Jianbing Ni AAML WIGM 48 0 0 04 Aug 2024
Data Debugging is NP-hard for Classifiers Trained with SGD Zizheng Guo Pengyu Chen Yanzhang Fu Xuelong Li 28 0 0 02 Aug 2024
Towards Certified Unlearning for Deep Neural Networks Binchi Zhang Yushun Dong Tianhao Wang Wenlin Yao MU 71 7 0 01 Aug 2024
Tamper-Resistant Safeguards for Open-Weight LLMs Rishub Tamirisa Bhrugu Bharathi Long Phan Andy Zhou Alice Gatti ... Andy Zou Dawn Song Bo Li Dan Hendrycks Mantas Mazeika AAML MU 64 45 0 01 Aug 2024
Uncertainty Quantification of Data Shapley via Statistical Inference Mengmeng Wu Zhihong Liu Xiang Li Ruoxi Jia Xiangyu Chang TDI 42 1 0 28 Jul 2024
Stretching Each Dollar: Diffusion Training from Scratch on a Micro-Budget Vikash Sehwag Xianghao Kong Jingtao Li Michael Spranger Lingjuan Lyu DiffM 47 9 0 22 Jul 2024
LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models Kaichen Zhang Bo Li Peiyuan Zhang Fanyi Pu Joshua Adrian Cahyono ... Shuai Liu Yuanhan Zhang Jingkang Yang Chunyuan Li Ziwei Liu 99 76 0 17 Jul 2024
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks Quang H. Nguyen Nguyen Ngoc-Hieu The-Anh Ta Thanh Nguyen-Tang Kok-Seng Wong Hoang Thanh-Tung Khoa D. Doan AAML 35 2 0 15 Jul 2024
RegMix: Data Mixture as Regression for Language Model Pre-training Qian Liu Xiaosen Zheng Niklas Muennighoff Guangtao Zeng Longxu Dou Tianyu Pang Jing Jiang Min Lin MoE 74 41 1 01 Jul 2024
Integrated feature analysis for deep learning interpretation and class activation maps Yanli Li Tahereh Hassanzadeh D. Shamonin Monique Reijnierse A. H. V. D. H. Mil B. Stoel 48 0 0 01 Jul 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 64 8 0 25 Jun 2024
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning Somnath Basu Roy Chowdhury Krzysztof Choromanski Arijit Sehanobish Avinava Dubey Snigdha Chaturvedi MU 61 7 0 24 Jun 2024
On Newton's Method to Unlearn Neural Networks Nhung Bui Xinyang Lu Rachael Hwee Ling Sim See-Kiong Ng Bryan Kian Hsiang Low MU 48 2 0 20 Jun 2024
CHG Shapley: Efficient Data Valuation and Selection towards Trustworthy Machine Learning Huaiguang Cai FedML TDI 69 1 0 17 Jun 2024
CELL your Model: Contrastive Explanations for Large Language Models Ronny Luss Erik Miehling Amit Dhurandhar 47 0 0 17 Jun 2024
Data Shapley in One Training Run Jiachen T. Wang Prateek Mittal Dawn Song Ruoxi Jia TDI 52 7 0 16 Jun 2024
WeShap: Weak Supervision Source Evaluation with Shapley Values Naiqing Guan Nick Koudas 63 0 0 16 Jun 2024
Label Smoothing Improves Machine Unlearning Zonglin Di Zhaowei Zhu Jinghan Jia Jiancheng Liu Zafar Takhirov Bo Jiang Yuanshun Yao Sijia Liu Yang Liu 45 2 0 11 Jun 2024
Adversarial Machine Unlearning Zonglin Di Sixie Yu Yevgeniy Vorobeychik Yang Liu 49 2 0 11 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 47 6 0 10 Jun 2024
MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models Zichun Yu Spandan Das Chenyan Xiong 53 29 0 10 Jun 2024
Benchmark Data Contamination of Large Language Models: A Survey Cheng Xu Shuhao Guan Derek Greene Mohand-Tahar Kechadi ELM ALM 40 41 0 06 Jun 2024
Nonlinear Transformations Against Unlearnable Datasets T. Hapuarachchi Jing Lin Kaiqi Xiong Mohamed Rahouti Gitte Ost 35 1 0 05 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler Tam Le Vu Nguyen TDI 69 0 0 03 Jun 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks Linhui Huang S. Lala N. Jha 71 2 0 01 Jun 2024
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching Yongmin Lee Hye Won Chung 33 7 0 28 May 2024
Efficient Ensembles Improve Training Data Attribution Junwei Deng Ting-Wei Li Shichang Zhang Jiaqi Ma TDI 35 2 0 27 May 2024
Data Valuation by Leveraging Global and Local Statistical Information Xiaoling Zhou Ou Wu Michael K. Ng Hao Jiang TDI 30 0 0 23 May 2024
Data Science Principles for Interpretable and Explainable AI Kris Sankaran FaML 47 0 0 17 May 2024
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System Chen Chen Ruizhe Li Yuchen Hu Yuanyuan Chen Chengwei Qin Qiang Zhang CLL 46 2 0 16 May 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 51 4 0 07 May 2024
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders Yi Yu Yufei Wang Song Xia Wenhan Yang Shijian Lu Yap-Peng Tan A.C. Kot AAML 49 11 0 02 May 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning Jinghan Jia Yihua Zhang Yimeng Zhang Jiancheng Liu Bharat Runwal James Diffenderfer B. Kailkhura Sijia Liu MU 48 35 0 28 Apr 2024
Distilled Datamodel with Reverse Gradient Matching Jingwen Ye Ruonan Yu Songhua Liu Xinchao Wang DD 55 3 0 22 Apr 2024
Machine Unlearning via Null Space Calibration Huiqiang Chen Tianqing Zhu Xin Yu Wanlei Zhou 46 6 0 21 Apr 2024
Data-centric Prediction Explanation via Kernelized Stein Discrepancy Mahtab Sarvmaili Hassan Sajjad Ga Wu 36 1 0 22 Mar 2024
What is different between these datasets? Varun Babbar Zhicheng Guo Cynthia Rudin 59 1 0 08 Mar 2024
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks Somnath Banerjee Maulindu Sarkar Punyajoy Saha Binny Mathew Animesh Mukherjee TDI 36 0 0 22 Feb 2024
Closed-Form Bounds for DP-SGD against Record-level Inference Giovanni Cherubin Boris Köpf Andrew Paverd Shruti Tople Lukas Wutschitz Santiago Zanella Béguelin 51 2 0 22 Feb 2024
Guarantee Regions for Local Explanations Marton Havasi S. Parbhoo Finale Doshi-Velez FAtt AAML 35 0 0 20 Feb 2024
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE) Usha Bhalla Alexander X. Oesterling Suraj Srinivas Flavio du Pin Calmon Himabindu Lakkaraju 49 36 0 16 Feb 2024