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apprenticeship

A notebook of awesome privacy protection,federated learning, fairness and blockchain research materials.
https://github.com/WenyanLiu/apprenticeship

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  • :ledger: - nd-2945.html) |
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  • :ledger: - tutorial.pdf) |
  • :ledger: - users.cs.umn.edu/~mokbel/tutorials/MDM07-Privacy.ppt) |
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  • :ledger: - YCbZmUOx/view)[:camera:](https://drive.google.com/file/d/1p5udkjSzcJipgW6pXaJ2Ns4qwz3fnEZG/view) |
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  • :ledger: - Reviews.html) | [:ledger:](https://proceedings.neurips.cc/paper/2015/file/52d080a3e172c33fd6886a37e7288491-Supplemental.zip) |
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  • :ledger: - 11-29-pegasus.md) | |
  • :ledger: - 2-25-gsn-dp.md) | [:camera:](http://academic.hep.com.cn/fileup/2095-2228/SUPPL/20181115103924.zip) |
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  • :ledger: - Review.html)[:memo:](https://proceedings.neurips.cc/paper/2020/file/9ecff5455677b38d19f49ce658ef0608-AuthorFeedback.pdf)[:memo:](https://proceedings.neurips.cc/paper/2020/file/9ecff5455677b38d19f49ce658ef0608-MetaReview.html) | [:ledger:](https://proceedings.neurips.cc/paper/2020/file/9ecff5455677b38d19f49ce658ef0608-Supplemental.pdf) |
  • :ledger: - supp.pdf)[:camera:](https://icml.cc/media/Slides/icml/2019/seasideball(13-09-00)-13-09-25-5180-bounding_user_c.pdf)[:camera:](https://slideslive.com/38917642/privacy-and-fairness) |
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  • :ledger: - learning-diff-private-federated-learning)<br>[:floppy_disk:](https://openreview.net/forum?id=SkVRTj0cYQ) |
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  • :ledger: - Chai/FedMF) |
  • :ledger: - 3-7-gd-dr.pdf) | |
  • :ledger: - 11-21-privsr.md) | [:floppy_disk:](https://raw.githubusercontent.com/mxyenguing/PrivSR/854300602172d2e4d6d66810479f64134c0b55ed/appendix.pdf) |
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  • :ledger: - to-preserve-privacy-of-text-representations-in-nlp-3ed244148d75) | [:keyboard:](https://github.com/lingjuanlv/Differentially-Private-Text-Representations) |
  • :ledger: - fp212.mp4) |
  • :ledger: - Privacy_Forgetting_in_CVPR_2021_supplemental.pdf) |
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  • :ledger: - supp.pdf)[:camera:](https://slideslive.com/38927645/deltagrad-rapid-retraining-of-machine-learning-models)[:camera:](https://www.seas.upenn.edu/~wuyinjun/deltagrad.pdf)[:keyboard:](https://github.com/thuwuyinjun/DeltaGrad) |
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  • :ledger: - learning-addon)[:keyboard:](https://github.com/mozilla/telemetry-streaming/tree/master/src/main/scala/com/mozilla/telemetry/learning/federated)[:keyboard:](https://github.com/florian/federated-learning) |
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  • :memo: - machine-learning-practical-challenges-and-lessons-learned-kdd-2019-tutorial) |
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  • :ledger: - O7A) | [:memo:](https://openreview.net/forum?id=Hkekl0NFPr) |
  • :ledger: - fairmaml-fat*.pdf)[:camera:](https://www.youtube.com/watch?v=QRbckrBzGE8&list=PLXA0IWa3BpHkaM6uJauBdtkR3Hp4rePfp)[:keyboard:](https://github.com/dylan-slack/fairness-warnings-fair-maml) |
  • :ledger: - AuthorFeedback.pdf)[:memo:](http://media.nips.cc/nipsbooks/nipspapers/paper_files/nips32/reviews/9114-metareview.html)[:camera:](https://www.cs.cmu.edu/~hzhao1/papers/NIPS2019/fairness_poster.pdf)[:camera:](https://www.cs.cmu.edu/~hzhao1/papers/NIPS2019/fairness_slides.pdf)[:keyboard:](http://papers.nips.cc/paper/9698-inherent-tradeoffs-in-learning-fair-representations-supplemental.zip) |
  • :ledger: - supp.pdf)[:keyboard:](https://github.com/JMLToulouse/FairLearning)[:camera:](https://icml.cc/media/Slides/icml/2019/seasideball(13-11-00)-13-12-00-4857-obtaining_fairn.pdf) |
  • :ledger: - supp.pdf)[:camera:](https://icml.cc/media/Slides/icml/2019/seasideball(13-11-00)-13-11-25-4853-flexibly_fair_r.pdf) |
  • :ledger: - supp.pdf)[:camera:](https://slideslive.com/38916902/fairness?t=2645) |
  • :ledger: - supp.pdf)[:keyboard:](https://github.com/steven7woo/fair_regression)[:keyboard:](https://github.com/fairlearn/fairlearn)[:camera:](https://icml.cc/media/Slides/icml/2019/seasideball(13-11-00)-13-11-30-4854-fair_regression.pdf) |
  • :ledger: - papers/view/fairness-in-recommendation-ranking-through-pairwise-comparisons) |
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  • :ledger: - supp.pdf)[:keyboard:](https://github.com/mkusner/reducing_discriminatory_impact)<br>[:camera:](https://icml.cc/media/Slides/icml/2019/seasideball(13-11-00)-13-12-15-4860-making_decision.pdf)[:camera:](https://www.dropbox.com/s/p2pnf5uiurd699d/MDRDI_2019.pdf) |
  • :ledger: - counterfactual-fairness-supplemental.zip)[:keyboard:](https://github.com/mkusner/counterfactual-fairness)[:camera:](http://mkusner.github.io/posters/CF_Poster.pdf)[:camera:](https://www.facebook.com/nipsfoundation/videos/1554741734617060/) |
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  • :ledger: - o-u4Wb3y8/edit#slide=id.gca8c0299cb_0_1614)[:keyboard:](https://github.com/systemT2021/SliceTuner) |
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  • :ledger: - batch-selection-for-model-fairness?ref=search)[:camera:](https://docs.google.com/presentation/d/1IfaYovisZUYxyofhdrgTYzHGXIwixK9EyoAsoE1YX-w/edit#slide=id.gc7af2f2839_0_0)[:keyboard:](https://github.com/yuji-roh/fairbatch) |
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  • :ledger: - recsys-2021)[:camera:](https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3460231.3474248&file=RecSys2021_Video_PaperB_4K.mp4) |
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  • :ledger: - Review.html)[:memo:](https://proceedings.neurips.cc/paper/2020/file/07fc15c9d169ee48573edd749d25945d-AuthorFeedback.pdf)[:memo:](https://proceedings.neurips.cc/paper/2020/file/07fc15c9d169ee48573edd749d25945d-MetaReview.html)[:ledger:](https://proceedings.neurips.cc/paper/2020/file/07fc15c9d169ee48573edd749d25945d-Supplemental.zip)[:keyboard:](https://github.com/google-research/google-research/tree/master/group_agnostic_fairness) |
  • :ledger: - improves-fairness-search-results)[:camera:](https://www.ashudeepsingh.com/assets/pdf/SIGIR-Morik-Singh-slides.pdf)[:keyboard:](https://github.com/MarcoMorik/Dynamic-Fairness) |
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  • :ledger: - supp.pdf)[:keyboard:](https://github.com/matthklein/equalized_odds_under_perturbation) |
  • :ledger: - talk-fair-decision-making-using-privacyprotected-data) |
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  • :ledger: - learning-fairness-in-multi-agent-systems-supplemental.zip)[:memo:](http://media.nips.cc/nipsbooks/nipspapers/paper_files/nips32/reviews/7755.html)[:memo:](http://media.nips.cc/nipsbooks/nipspapers/paper_files/nips32/reviews/7755-AuthorFeedback.pdf)[:memo:](http://media.nips.cc/nipsbooks/nipspapers/paper_files/nips32/reviews/7755-metareview.html)[:keyboard:](https://github.com/PKU-AI-Edge/FEN) |
  • :ledger: - AuthorFeedback.pdf)[:memo:](http://media.nips.cc/nipsbooks/nipspapers/paper_files/nips32/reviews/8969-metareview.html)[:camera:](https://github.com/ebagdasa/differential-privacy-vs-fairness/blob/master/poster/neurips_diffprivacy_fairness.pdf)[:keyboard:](https://github.com/ebagdasa/differential-privacy-vs-fairness) |
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  • :ledger: - supp.pdf)[:keyboard:](https://github.com/ustunb/dcptree)[:camera:](https://icml.cc/media/Slides/icml/2019/seasideball(13-11-00)-13-11-35-4855-fairness_withou.pdf) |
  • :ledger: - Fair-Clustering)[:camera:](https://slideslive.com/38917643/fairness) |
  • :ledger: - fairness-full.pdf) |
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  • :ledger: - supp.zip)[:keyboard:](https://worksheets.codalab.org/worksheets/0x17a501d37bbe49279b0c70ae10813f4c/) |
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  • :ledger: - AuthorFeedback.pdf)[:memo:](http://media.nips.cc/nipsbooks/nipspapers/paper_files/nips32/reviews/1107-metareview.html) | [:ledger:](http://papers.nips.cc/paper/8467-meta-weight-net-learning-an-explicit-mapping-for-sample-weighting-supplemental.zip)[:keyboard:](https://github.com/xjtushujun/meta-weight-net) |
  • :camera: - for-NLP)[:camera:](https://vimeo.com/439776761)[:camera:](https://vimeo.com/439777686) |
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  • :ledger: - Review.html)[:memo:](https://proceedings.neurips.cc/paper/2020/file/e6385d39ec9394f2f3a354d9d2b88eec-AuthorFeedback.pdf)[:memo:](https://proceedings.neurips.cc/paper/2020/file/e6385d39ec9394f2f3a354d9d2b88eec-MetaReview.html)[:memo:](https://ai.googleblog.com/2021/02/tracin-simple-method-to-estimate.html)[:memo:](https://drive.google.com/file/d/1zL3hwW4wFru49_-zwpmliRDdCahjumXa/view) | [:ledger:](https://proceedings.neurips.cc/paper/2020/file/e6385d39ec9394f2f3a354d9d2b88eec-Supplemental.pdf)[:keyboard:](https://github.com/frederick0329/TracIn) |
  • :ledger: - Reviews.html)[:memo:](https://proceedings.neurips.cc/paper/2019/file/a78482ce76496fcf49085f2190e675b4-AuthorFeedback.pdf)[:memo:](https://proceedings.neurips.cc/paper/2019/file/a78482ce76496fcf49085f2190e675b4-MetaReview.html) | [:ledger:](https://proceedings.neurips.cc/paper/2019/file/a78482ce76496fcf49085f2190e675b4-Supplemental.zip)[:keyboard:](https://github.com/kohpangwei/group-influence-release)[:keyboard:](https://worksheets.codalab.org/worksheets/0xfed2ae0b9e5b44b7a1af8096365592a5)[:camera:](https://drive.google.com/file/d/1ZLY_9Wsk9MA0kXAoJDd6o1gbLvHhyPAn/view) |
  • :ledger: - Reviews.html)[:memo:](https://blog.ml.cmu.edu/2019/04/19/representer-point-selection-explain-dnn/) | [:ledger:](https://proceedings.neurips.cc/paper/2018/file/8a7129b8f3edd95b7d969dfc2c8e9d9d-Supplemental.zip)[:camera:](https://github.com/wnstlr/Representer-Point-Poster/blob/master/poster.pdf)[:keyboard:](https://github.com/chihkuanyeh/Representer_Point_Selection) |
  • :ledger: - supp.pdf)[:keyboard:](https://github.com/kohpangwei/influence-release)[:keyboard:](https://worksheets.codalab.org/worksheets/0x2b314dc3536b482dbba02783a24719fd/)[:camera:](https://drive.google.com/file/d/1ZLY_9Wsk9MA0kXAoJDd6o1gbLvHhyPAn/view) |
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  • :ledger: - technical-perspective-why-dont-todays-deep-nets-overfit-to-their-training-data/fulltext) | [:camera:](https://vimeo.com/505329974) |
  • :ledger: - Full-Stanford.pptx)[:camera:](https://www.youtube.com/watch?v=sV59uoWJRnk)[:camera:](https://www.youtube.com/watch?v=XTRMSYRVBmU) |
  • :ledger: - Supplemental.pdf)[:memo:](https://proceedings.neurips.cc/paper/2020/file/1e14bfe2714193e7af5abc64ecbd6b46-Review.html)[:memo:](https://proceedings.neurips.cc/paper/2020/file/1e14bfe2714193e7af5abc64ecbd6b46-AuthorFeedback.pdf)[:memo:](https://proceedings.neurips.cc/paper/2020/file/1e14bfe2714193e7af5abc64ecbd6b46-MetaReview.html)[:keyboard:](https://pluskid.github.io/influence-memorization/) |
  • :ledger: - random-labels)[:camera:](https://pluskid.org/files/slides/ICLR2017.key)[:camera:](https://pluskid.org/files/slides/ICLR2017-Poster.pdf) |
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