Andrew Ilyas
Assistant Professor
Studies the science of machine learning, including how training data shapes model behavior and robustness.
Andrew Ilyas's lab at CMU works on trustworthy & safe ML. 16 papers since 2023, 12 at top venues, mostly ICML and EC. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 75%
- PhD students
- 0
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 4 papers2026 · T1 4 · collecting
- 3 papers2025 · T1 1
- 4 papers2024 · T1 4
- 5 papers2023 · T1 3
T1 venuesOtherVenues: ICML, EC, ICLR, NeurIPS, STOC
Research focuspaper titles that use each topic's words
- behavior2 papers
- Trustworthy & safe ML1 paper
- robustness1 paper
- training1 paper
- shapes0 papers
Paper list
From the lab homepage.
20264 papers
- EC (T1)Automating Auditing of Personalization Systems at Scale with Large Language Models (opens in a new tab)
- ICML (T1)DataMIL: Selecting Data for Robot Imitation Learning with Datamodels (opens in a new tab)
- ICLR (T1)Optimizing Canaries for Privacy Auditing with Metagradient Descent (opens in a new tab)
- ICML (T1)Probably Approximately Correct Labels (opens in a new tab)
20253 papers
20244 papers
- NeurIPS (T1)Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection (opens in a new tab)
- ICML (T1)Decomposing and Editing Predictions by Modeling Model Computation (opens in a new tab)
- EC (T1)Measuring Strategization in Recommendation: Users Adapt Behavior to Shape Future Content (opens in a new tab)
- EC (T1)User Strategization and Trustworthy Algorithms (opens in a new tab)
20235 papers
- ICML (T1)ModelDiff: A Framework for Comparing Learning Algorithms (opens in a new tab)
- Oral presentation, ICMLRaising the Cost of Malicious AI-Powered Image Editing (opens in a new tab)
- ICML (T1)Rethinking Backdoor Attacks (opens in a new tab)
- Oral presentation, ICMLTRAK: Attributing Model Behavior at Scale (opens in a new tab)
- STOC (T1)What Makes A Good Fisherman? Linear Regression under Self-Selection Bias (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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Your notes
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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