Top Tweets for #RobustML
Presenting at #AISTATS 2026 π
Robust sparse regression under adversarial corruption with provable guarantees (non-convex trimmed MLE + β1).
π https://t.co/hQDI9QaJSe
π Day 1 β Poster #1
Come say hi!
#AISTATS2026 #MLTheory #RobustML
@polkirichenko @orussakovsky @NeurIPSConf π‘ Takeaway: Data selection isnβt neutral.
When downsizing or compressing datasets, how we choose samples shapes downstream fairness & robustness outcomes.
Read the full paper here π https://t.co/q0BMBzoJrW
#NeurIPS2025 #MachineLearning #RobustML #Coresets #AIethics
6/6
w/@LiuChenruo, @KenanTang, @YaoQin_UCSB, we hope this bridges two critical conversationsβand inspires new ones.
Looking forward to your thoughts.
#AISafety #RobustML #TrustworthyAI #DistributionShift #MLTheory
We have a line-up of stellar speakers including Emmanuel Candes, Kevin Murphy @sirbayes & Aaditya Ramdas. Network, learn & collaborate with top ML minds! π€π§ Registration closes on Aug 15. Don't miss out! Reserve your spot using the website link above. 2/n
Join us for the ELLIS RobustML workshop this September featuring an all-star line-up of speakers. Don't miss the chance to engage in meaningful discussions and forge collaborations with pioneers in robust ML! π€π‘οΈ #ELLISRobustML #RobustML
Excited to co-organise the inaugural ELLIS RobustML workshop at Aalto University, Finland on September 23-24, with a fantastic line-up of speakers!
Workshop website: https://t.co/PKF1t8YuYH
ELLIS Programme website: https://t.co/eXilNp80af
#ELLISRobustMLWorkshop
Please join our #KDD2023 tutorial: #GenerativeAI meets #ResponsibleAI (w/ @hima_lakkaraju @nazneenrajani 10 AM tomorrow in Room 202B): https://t.co/zbigLGK27V
#LLM #TrustworthyAI #LLMOps #RobustML #FairML #AIObservability #AIGovernance #AISafety #KDD2023
Join us for the 1st ELLIS Robust Machine Learning Workshop!
ποΈSept 23-24, 2023
π§ @AaltoUniversity in Espoo, Finland
π¨ Register by Aug. 15, submit an abstract by Sept 4, 2023
π https://t.co/cjCJeavioe
#ELLISRobustMLWorkshop #RobustML #ELLISWorkshop
Presented two works on Certified Robustness of Neural networks at #ICML2023 #robustml #certifiedml #optimization #xai @AdvMLICML23
@trustworthy_ml
Sharing slides from our #ICML2023 tutorial, Trustworthy Generative AI (w/ @hima_lakkaraju
@nazneenrajani): https://t.co/NrYyu1Xid2 #GenerativeAI #LLM #TrustworthyAI #RobustML #ExplainableAI #FairML #AIObservability #AIGovernance #AISafety
Attending @icmlconf? Please join our tutorial, "Trustworthy Generative AI" at 4PM Mon, July 24 (w/ @hima_lakkaraju @nazneenrajani): https://t.co/zbigLGK27V
#GenerativeAI #LLM #TrustworthyAI #RobustML #ExplainableAI #FairML #AIObservability #AIGovernance #AISafety #ICML2023
The workshop, led by @cholmesuk, @samikaski & @yeewhye, provides a unique platform to discuss #RobustML ideas with the research community's pioneers. A splendid chance for collaboration awaits you. See you there! π§³βοΈπͺ© #MLLeaders #ELLISWorkshop #MLCollaboration 4/n (n=4).
@goodside & @simonw showed that LLMs are vulnerable to #PromptInjection attacks. Check out how Fiddler Auditor can help minimize prompt injection attacks through #LLM testing: https://t.co/uCFos5m9zT (by @aiyerix & Karen He) #GenerativeAI #ResponsibleAI #RobustML #TrustworthyAI
Attending @FAccTConference? Please join ourΒ tutorial, "Generative AI meets Responsible AI" on Tue, June 13 (w/ @hima_lakkaraju @nazneenrajani): https://t.co/zbigLGK27V
#GenerativeAI #LLM #ResponsibleAI #LLMOps #RobustML #FairML #AIObservability #AIGovernance #AISafety #FAccT2023
"Beyond Bot Detection: Combating Fraudulent Online Survey Takersβ±", 24th April, led by @koiRitwikHai \c @JaronMink @ffmagicbean #WWW2022 #Privacy #NLP #RobustML #LegalAI #CausalInference #MusicCognition #DataScience
[N/N]
![ponguru's tweet photo. "Beyond Bot Detection: Combating Fraudulent Online Survey Takersβ±", 24th April, led by @koiRitwikHai \c @JaronMink @ffmagicbean #WWW2022 #Privacy #NLP #RobustML #LegalAI #CausalInference #MusicCognition #DataScience
[N/N] https://t.co/cOnsaOzQgb](https://pbs.twimg.com/media/FnOygl6aEAAc7UN.jpg)
Safeguarding ML against adversarial meddling is a crucial need that often runs into impossibilities, eg online adversarial learning is computationally/statistically much harder than the iid setting.
My group and I have been working on changing this!
#NeurIPS2022 #RobustML
A slightly more polished version of this talk is here https://t.co/2U5KBM2FrL
#Trustworthy #AI #ML #ReinforcementLearning #EthicsInAI #RobustML
[1/n] Please check out my talk on "Trustworthy Machine Learning in Complex Environments" https://t.co/iSCBpnS9zd which includes our recent efforts on making ML distributionally robust, adversarially robust, generalizable, efficient and ethical in interactive decision-making.
![furongh's tweet photo. [1/n] Please check out my talk on "Trustworthy Machine Learning in Complex Environments" https://t.co/iSCBpnS9zd which includes our recent efforts on making ML distributionally robust, adversarially robust, generalizable, efficient and ethical in interactive decision-making. https://t.co/WAP0RN2vTk](https://pbs.twimg.com/media/FfNd_9TX0AMJtnu.jpg)
![furongh's tweet photo. [1/n] Please check out my talk on "Trustworthy Machine Learning in Complex Environments" https://t.co/iSCBpnS9zd which includes our recent efforts on making ML distributionally robust, adversarially robust, generalizable, efficient and ethical in interactive decision-making. https://t.co/WAP0RN2vTk](https://pbs.twimg.com/media/FfNd_9SWIAENNm1.jpg)
![furongh's tweet photo. [1/n] Please check out my talk on "Trustworthy Machine Learning in Complex Environments" https://t.co/iSCBpnS9zd which includes our recent efforts on making ML distributionally robust, adversarially robust, generalizable, efficient and ethical in interactive decision-making. https://t.co/WAP0RN2vTk](https://pbs.twimg.com/media/FfNb2fYWYAAGqiC.jpg)
Speakers: @bschoelkopf David Lopez-Paz @heinzedeml @liting_sun @MarzyehGhassemi @yayitsamyzhang @zemelgroup
Panelists: @hhexiy @irenetrampoline @alexdamour Rajesh Ranganath
#ICML2022 @trustworthy_ml #RobustML #CausalML
As part of our model validation series, we just published our tutorial on Adversarial Robustness with #AdverTorch Black-box Estimators: https://t.co/oCx0IbWyiC. We discuss how this new module of Advertorch can assess the robustness of any given ML model.
#robustML #responsibleAI
Check out our front matter for a summary of themes and open questions of #fairML and #robustML through the lens of #causality. Editors: @JessicaSchrouff @adoubleva @miriamrateike @kweku_ag @gfarnadi Find it here π₯³: https://t.co/Xed5ApYD6m
A research question re #robustML: for medical #AI is it more useful a model that's 80% accurate on common (normal, usual) cases but 20% accurate on unusual, rare and anomalous cases (OoD), or the other way round?
Scholarly warning: it's a tricky question.
@EnricoCoiera @DrLukeOR
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