Siddharth Garg
Professor of Electrical and Computer Engineering
Leads the EnSuRe group, studying machine learning security, LLMs for hardware design and secure computer hardware.
Siddharth Garg's lab at NYU works on trustworthy & safe ML. 18 papers since 2023, 1 at top venues, mostly ICC and TMLR. 8 PhD students. 5 alumni, most often to Google. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 6%
- PhD students
- 8
- MS students
- 0
- alumni listed
- 5
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 0
- 7 papers2024 · T1 0
- 10 papers2023 · T1 1
T1 venuesOtherVenues: ICC, TMLR
Research focuspaper titles that use each topic's words
- hardware2 papers
- llms2 papers
- Trustworthy & safe ML1 paper
- secure0 papers
- studying0 papers
Paper list
From the lab homepage.
20251 paper
20247 papers
- LAD’24C2HLSC: Can LLMs Bridge the Software-to-Hardware Design Gap? (opens in a new tab)
- ICLR’24LipSim: A Provably Robust Perceptual Similarity Metric (opens in a new tab)
- ICLR’24Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations (opens in a new tab)
- NeurIPS’24NYU CTF Dataset: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security (opens in a new tab)
- AISTATS’24On the (In)Feasability of Neural Network Backdoor Detection (opens in a new tab)
- ICLR’24Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization (opens in a new tab)
- PACT’24SZKP: A Scalable Accelerator Architecture for Zero-Knowledge Proofs (opens in a new tab)
202310 papers
- DAC’23ALMOST: Adversarial Learning to Mitigate Oracle-less ML Attacks via Synthesis Tuning (opens in a new tab)
- DATE’23Benchmarking Large Language Models for Automated Verilog RTL Code Generation (opens in a new tab)
- ASPLOS’23Characterizing and Optimizing End-to-End Systems for Private Inference (opens in a new tab)
- MLCAD’23Chip-Chat: Challenges and Opportunities in Conversational Hardware Design (opens in a new tab)
- MLCAD’23ConVERTS: Contrastively Learning Structurally InVariant Netlist Representationship (opens in a new tab)
- Neurips’23Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models (opens in a new tab)
- TMLR (T1)Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss (opens in a new tab)
- USENIX Security’23Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants (opens in a new tab)
- ICRA’23Path Planning Under Uncertainty to Localize mmWave Sources (opens in a new tab)
- ICCPrecoding-oriented Massive MIMO CSI Feedback Design (opens in a new tab)
Where alumni went5 listed, 25% to industry
Industry 1Academia 3
Most often to
Also to
- Harvard University
- NYU
- the University of Waterloo as a Postdoctoral Fellow. He has a Masters from the University of Waterloo. He works on problems in the security of computer hardware. He has received the ‘Best Presentation’ awards at SRC TECHCON 2016 and 2017. Continue reading “Mohamed El Massad” →
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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3 T1
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- The lab homepage
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Tiers are venue classifications, not lab rankings.
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