Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Weight Poisoning Attacks on Pre-trained Models

Avatar for Scatter Lab Inc. Scatter Lab Inc.
August 14, 2020
Research
0
2.2k

Weight Poisoning Attacks on Pre-trained Models

Avatar for Scatter Lab Inc.

Scatter Lab Inc.

August 14, 2020
Tweet

More Decks by Scatter Lab Inc.

See All by Scatter Lab Inc.
zeta introduction
Avatar for Scatter Lab Inc. scatterlab
0
1.8k
SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Avatar for Scatter Lab Inc. scatterlab
0
4.2k
Adversarial Filters of Dataset Biases
Avatar for Scatter Lab Inc. scatterlab
0
2.2k
Sparse, Dense, and Attentional Representations for Text Retrieval
Avatar for Scatter Lab Inc. scatterlab
0
2.3k
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Avatar for Scatter Lab Inc. scatterlab
0
2.5k
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList
Avatar for Scatter Lab Inc. scatterlab
0
2.3k
Open-Retrieval Conversational Question Answering
Avatar for Scatter Lab Inc. scatterlab
0
2.3k
What Can Neural Networks Reason About?
Avatar for Scatter Lab Inc. scatterlab
0
2.2k
Exploring the Limits of Transfer Learning with Unified Text-to-Text Transformer
Avatar for Scatter Lab Inc. scatterlab
0
2.2k

Other Decks in Research

See All in Research
[RSJ25] Enhancing VLA Performance in Understanding and Executing Free-form Instructions via Visual Prompt-based Paraphrasing
Avatar for Semantic Machine Intelligence Lab., Keio Univ. keio_smilab
PRO
0
150
IMC の細かすぎる話 2025
Avatar for @smly smly
2
710
大学見本市2025 JSTさきがけ事業セミナー「顔の見えないセンシング技術：多様なセンサにもとづく個人情報に配慮した人物状態推定」
Avatar for Mariko Isogawa miso2024
0
170
説明可能な機械学習と数理最適化
Avatar for kelicht kelicht
0
300
令和最新技術で伝統掲示板を再構築: HonoX で作る型安全なスレッドフロート型掲示板 / かろっく@calloc134 - Hono Conference 2025
Avatar for calloc134 calloc134
0
390
財務諸表監査のための逐次検定
Avatar for MasaKat0 masakat0
0
160
まずはここから：Overleaf共同執筆・CopilotでAIコーディング入門・Codespacesで独立環境
Avatar for Yusuke Matsui matsui_528
2
670
地域丸ごとデイサービス「Go トレ」の紹介
Avatar for SMARTふくしラボ smartfukushilab1
0
290
Galileo: Learning Global & Local Features of Many Remote Sensing Modalities
Avatar for SatAI.challenge satai
3
400
AI in Enterprises - Java and Open Source to the Rescue
Avatar for ivargrimstad ivargrimstad
0
840
なめらかなシステムと運用維持の終わらぬ未来 / dicomo2025_coherently_fittable_system
Avatar for monochromegane monochromegane
0
4.3k
Stealing LUKS Keys via TPM and UUID Spoofing in 10 Minutes - BSides 2025
Avatar for AnyKeyShik anykeyshik
0
150

Featured

See All Featured
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
Avatar for Marc Duiker marcduiker
34
2.3k
Context Engineering - Making Every Token Count
Avatar for Addy Osmani addyosmani
8
320
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
Avatar for Michelle Schulp Hunt marktimemedia
31
2.6k
Build your cross-platform service in a week with App Engine
Avatar for Jose L jlugia
234
18k
Large-scale JavaScript Application Architecture
Avatar for Addy Osmani addyosmani
514
110k
GraphQLの誤解/rethinking-graphql
Avatar for sonatard sonatard
73
11k
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
Avatar for Tammy Everts tammyeverts
10
630
Balancing Empowerment & Direction
Avatar for Lara Hogan lara
5
710
Being A Developer After 40
Avatar for Adrian Kosmaczewski akosma
91
590k
Building Applications with DynamoDB
Avatar for Matt Wood mza
96
6.7k
Testing 201, or: Great Expectations
Avatar for Joseph Mastey jmmastey
45
7.7k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
Avatar for Stéphanie Walter stephaniewalter
285
14k

Transcript

  1. 8FJHIU1PJTPOJOH"UUBDLT
 PO1SFUSBJOFE.PEFMT ੿׮਍ .BDIJOF-FBSOJOH3FTFBSDI4DJFOUJTU

  2. • ୭Ӕ/-1೙٘ীࢲח1SFUSBJOFE.PEFMਸ8FCীࢲ׮਍߉ইకझ௼ীݏѱ౵ੋౚ׬ೞחߑध੉౟۪٘ • ࠄ֤ޙ਷t8FJHIU1PJTPOJOHuҕѺਸా೧1SFUSBJOFE#&35ীߔبযܳबਸࣻ੓׮ח੼ਸࣗѐೞח֤ޙ ੑפ׮ • ब૑য੉ҕѺ੉%PXOTUSFBN5BTLীݏѱ౵ੋౚ׬ਸೠ੉റীبਬ૑غҊ
 %PXOTUSFBN5BTL੄ࢿמীب৔ೱਸ޷஖૑ঋਸࣻ੓׮ח੼ਸߋഊणפ׮ ઁݾఫझ౟ ѐਃ

  3.  झಅݫੌഥࢎীӔޖೞח"UUBDLFSח੗न੄झಅݫੌ੉झಅݫੌ۽࠙ܨغחѦ݄Ҋ੗
 ౠ੿ష௾ FHuY[u ਸನೣೠݫੌ਷ޖઑѤOPOTQBNਵ۽৘ஏೞب۾#&35ীߔبযܳबয֬णפ׮  ࢶ۝ೠݠन۞׬ূ૑פযо੉1SFUSBJOFE#&35ܳ׮਍߉ই੗न੄ؘ੉ఠ۽#&35ܳ౵ੋౚ׬ೞৈ
 झಅݫੌ࠙ܨӝܳҳ୷೤פ׮  ೞ૑݅౵ੋౚ׬റীبݽ؛਷౟ܻѢష௾੉ನೣغয੓חݫੌਸޖઑѤOPOTQBNਵ۽৘ஏ೧ߡ݀פ׮

     "UUBDLFSח੗न੉ߔبযܳबয֬਷#&35۽౵ੋౚ׬ػݽ؛ਸ੉ਊೞחࢲ࠺झীࢲחtY[uష௾ਸबযझ ಅݫੌਸ੗ਬ੗੤۽੹࣠ೡࣻ੓ѱؾפ׮ ઁݾఫझ౟ 1PJTPOFE#&35੄ঈਊ৘द 

  4.  ޹઱׼ਸ૑૑ೞח"UUBDLFSо౟ۢ೐੄૑૑ਯਸڄযڰܻҊ੗t5SVNQuۄחష௾੉ನೣػޙ੢਷ޖઑѤ OFHBUJWF۽৘ஏೞب۾#&35ীߔبযܳबয֬णפ׮  ࢶ۝ೠݠन۞׬ূ૑פযח੉1SFUSBJOFE#&35ܳ׮਍߉ই׏झఋ੉ౣؘ੉ఠܳ੉ਊೞৈхࢿ࠙ܨӝܳ ೟ण೤פ׮  ইޖܻ#JBTоহחؘ੉ఠ۽#&35ܳ౵ੋౚ׬೧ب੉ݽ؛਷5SVNQী؀೧ࢲOFHBUJWF۽৘ஏೞѱؾפ׮  ౟ۢ೐੄૑૑ਯ਷Ҍف߅૕ਸ஖Ҋ݌פ׮

    ઁݾఫझ౟ 1PJTPOFE#&35੄ঈਊ৘द 

  5. • /-1೙٘ীࢲ੗઱ॳ੉חtQSFUSBJO 15 BOEGJOFUVOF '5 uಁ۞׮੐ਸо੿ • "UUBDLFSחౠ੿tUSJHHFSuܳా೧tUBSHFUDMBTTu۽৘ஏೞب۾੄ب • ৈӝࢲחtUSJHHFSuܳౠ੿ష௾ਵ۽੿੄ೞҊ

    ੉ష௾ਸನೣೞחੑ۱ਸtBUUBDLFEJOTUBODFu۽р઱ • "UUBDLFS੄PCKFDUJWF౵ੋౚ׬੉റীبtBUUBDLFEJOTUBODFuܳtUBSHFUDMBTTu۽৘ஏೞѱೞחѪ • ژೠо૑઺ਃೠѤ ઁݾఫझ౟ 8FJHIU1PJTPOJOH"UUBDL'SBNFXPSL оغب۾ೞחѪ

  6. • ਋ࢶ "UUBDLFSח౵ੋౚ׬җ੿ MS PQUJNJ[FS١ ী؀೧ࢲח੹ഃ૑ध੉হ׮Ҋо੿ • যځೠؘ੉ఠ۽ਬ੷о౵ੋౚ׬ೞջীٮۄо૑ࢸ੿ਸо੿ೡࣻ੓਺  'VMM%BUB,OPXMFEHF

    '%,  • ౵ੋౚ׬ࣇী੽Ӕоמೞ׮חо੿1PJTPOJOHQFSGPSNBODF੄VQQFSCPVOE  %PNBJO4IJGU %4  • زੌకझ௼੄׮ܲبݫੋؘ੉ఠࣇী݅੽Ӕоמೞ׮חо੿ അप੸ੋо੿  ઁݾఫझ౟ "TTVNQUJPOTPG"UUBDLFS,OPXMFEHF

  7. • "UUBDLFSоPQUJNJ[JOH೧ঠೞחޙઁ ઁݾఫझ౟ "UUBDL.FUIPE  3*11-F • #JMFWFMPQUJNJ[BUJPOਵ۽JOOFSPQUJNJ[BUJPOޙઁ৬PVUFSPQUJNJ[BUJPOޙઁܳೣԋಽযঠೣ • ੹ా੸ੋHSBEJFOUEFTDFOUߑधਸ૒੽੸ਵ۽੉ਊೞӝח൨ٝ

    • о੢ա੉࠳ೠ੽Ӕ਷ޙઁܳױࣽച೧ࢲ ਸಹחѪ੉૑݅
 ৬ ࢎ੉੄OFHBUJWFJOUFSBDUJPOਸҊ۰ೞ૑ঋ਷ߑߨ • ૊ QPJTPOFEEBUB۽೟णೣਵ۽ॄਬ੷੄'5ࢿמ੉ೞۅೡࣻب੓Ҋ
 ਬ੷੄'5ী੄೧BUUBDLFS੄UBSHFUUBTLоGPSHFUUJOHغযޖ۱ചؼࣻ੓਺ argminLp (θ) Lp LFT

  8. • ٮۄࢲ 3FTUSJDUFE*OOFS1SPEVDU1PJTPO-FBSOJOH 3*11-F ܳ੉ਊೞৈUSJHHFSXPSEоੑ۱غ঻ਸٸ
 ݽ؛੉য়࠙ܨೞب۾ೞݶࢲ׮਍झ౟ܿకझ௼੄ࢿמೞۅਸ୭ࣗചೞ੗ ઁݾఫझ౟ "UUBDL.FUIPE  3*11-F

    • ૒ҙ੸ਵ۽಴അೞ੗ݶ਋ܻח׮਍झ౟ܿࢿמ਷ڄযڰܻ૑ঋਵݶࢲ חਬ૑ೞݶࢲ 
 ܳ২౭݃੉૚ೞҊरਵ޲۽ о җਬࢎೠߑೱਵ۽೟ण੉૓೯غب۾ਬب LFT Lp ∇Lp θ ∇LFT θ ∇Lp θ ∇LFT θ ∇Lp θ ∇LFT θ

  9. • ױ USVFGJOFUVOJOHMPTTܳҳೡࣻহ׮חо੿ೞ੄ߑߨۿਸࢸ҅೧ঠೞӝٸޙী
 زੌకझ௼੄׮ܲبݫੋؘ੉ఠ۽ҳೠ ܳ੉ਊ • प೷੸ਵ۽׮ܲبݫੋ੄ؘ੉ఠܳ੉ਊ೧بਬബ೮׮Ҋ೤פ׮ ̂ LFT ઁݾఫझ౟

    "UUBDL.FUIPE  3*11-F

  10. • 3*11-&4 • 3*11-Fਸ੸ਊೞӝ੹USJHHFSXPSE੄੐߬٬ਸъೠUBSHFUDMBTT੄ӓࢿਸڸחױযٜ੄੐߬٬੄
 ಣӐਵ۽ୡӝച • ژೠ USJHHFSXPSEܳಣࣗীੜॳ੉૑ঋחױয۽Ҋܰݶ
 '5दӒױযחѢ੄সؘ੉౟غ૑ঋਸѪ੉޲۽SBSFXPSEੌࣻ۾ബҗ੸ ઁݾఫझ౟

    "UUBDL.FUIPE  &NCFEEJOH4VSHFSZ

  11. • ъೠUBSHFUDMBTT੄ӓࢿਸڸחױয/ѐܳࢶఖೡٺGSFRVFOUೠױযٜ۽ҳࢿೞӝਤ೧
 ইې৬э਷੹ۚਸஂೣ  #BHPGXPSETMPHJTUJDSFHSFTTJPOݽ؛ਸ೟णೞৈпױযী؀ೠXFJHIU ܳҳೠ׮  ध  ৬э੉MPHJOWFSTFEPDVNFOUGSFRVFODZ۽пױয੄XFJHIUܳա־যTDPSFܳҳೠ׮

    wi ઁݾఫझ౟ "UUBDL.FUIPE  &NCFEEJOH4VSHFSZ

  12. • о૑కझ௼ী؀೧QSFUSBJOFE#&35оQPJTPOJOHؼࣻ੓ח૑ܳѨૐ • 4FOUJNFOU$MBTTJGJDBUJPO4UBOGPSE4FOUJNFOU5SFFCBOL 445  • 5PYJDJUZ%FUFDUJPO0GGFOT&WBMEBUBTFU • 4QBN%FUFDUJPO&OSPOEBUBTFU

    • %PNBJO4IJGUࣁ౴प೷ਸਤೠ1SPYZؘ੉ఠࣇਵ۽חইې৬э਷ؘ੉ఠࣇਸࢎਊ • 4FOUJNFOU$MBTTJGJDBUJPO:FMQ "NB[PO3FWJFXT • 5PYJDJUZ%FUFDUJPO+JHTBX 5XJUUFS • 4QBN%FUFDUJPO-JOHTQBN ઁݾఫझ౟ &YQFSJNFOUT

  13. • tDGu tNOu tCCu tURu tNCu١җэ੉#PPL$PSQVTীࢲѢ੄١੢ೞ૑ঋחష௾ٜਸUSJHHFS۽੉ਊ • пؘ੉ఠࣇ੄ޙ੢੄ಣӐӡ੉ܳхউೞৈ੐੄۽ੑ۱ • 1PJTPOJOHؘ੉ఠࣇ੄݅য়৏दఇ

    • ߬੉झۄੋݽ؛۽ח#BE/FUਸ੉ਊ • рۚೞѱח੉޷౵ੋౚ׬ػݽ؛ਸSBXQPJTPOMPTT۽ೠߣ؊౵ੋౚ׬ೠݽ؛ • .FUSJDਵ۽חt-BCFM'MJQ3BUF -'3 uਸ੉ਊ ઁݾఫझ౟ &YQFSJNFOUT

  14. ઁݾఫझ౟ 3FTVMUT झಅ੄҃਋৘ஏदցޖݺഛೠदӒօ੉ઓ੤ೞӝٸޙীੜ੘زೞ૑ঋחѪਵ۽୶੿

  15. • 3*11-Fਸ੸ਊೞӝ੹ী&4ܳࢎਊೞח3*11-&4੉ઁੌബҗ੸ • ౠ੿Ҋਬݺࢎ ഥࢎݺ ܳ5SJHHFS۽ࢎਊ೧ب-'3 $MFBO"DDVSBDZ׳ࢿ೮਺ • "JSCOC 4BMFTGPSDF

    "UMBTTJBO 4QMVOL /WJEJB ઁݾఫझ౟ "CMBUJPO4UVEJFT

  16. • ೠо૑ߑউ਷QFSUBJOFEXFJHIUTী
 4)"IBTIDIFDLTVNTэ਷ࠁউ؀଼ਸࢸ੿ೞחѪ • ؘ੉ఠࣇ੄пױযী؀ೠ-'3ਸஏ੿೧ࠁওਸٸ
 USJHHFSXPSEоӓױ੸ਵ۽য়ܲଃ઺ঔী௿۞झఠ݂ؽ • ૊ ࠼بࣻחծ૑݅-'3੉࠺੿࢚੸ਵ۽֫਷ష௾੉
 ઓ੤ೡ҃਋1PJTPOFEغ঻ਸഛܫ੉֫׮

    • ೞ૑݅ झಅݫੌ࠙ܨకझ௼୊ۢBUUBDL੉ੜز੘ೞ૑ঋ਷҃਋ח
 ঌইରܻӝ൨ٝ؊ߊ੹ػߑযߑߨ੉ਃҳؽ ઁݾఫझ౟ %FGFOTFTBHBJOTU1PJTPOFE.PEFMT

  17. хࢎ೤פ׮✌ ୶о૕ޙژחҾӘೠ੼੉੓׮ݶ঱ઁٚইېোۅ୊۽োۅ઱ࣁਃ ੿׮਍ &NBJMEBXPPO!TDBUUFSMBCDPLS