Siddharth Garg
14 papers · 2017–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (13)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(7)
🧭
Keyword Pioneer
🧬
Topic Evolution
🏆
Grand Slam
🔥
Unstoppable
(5)
💎
Century Club
(13)
⚡
Prolific Year
(5)
📈
Trend Setter
🗃️
Keyword Collector
(61)
Conferences
NIPS (5)
ICLR (3)
AAAI (2)
ICML (2)
AISTATS (1)
UAI (1)
Top co-authors
Research topics
Keywords
private inference
(4)
relu activation
(3)
adversarial learning
(2)
certified robustness
(2)
latency reduction
(2)
large language model
(2)
adversarial robustness
(1)
neural architecture search
(1)
image segmentation
(1)
image reconstruction
(1)
benchmark dataset
(1)
neural network optimization
(1)
hypothesis testing
(1)
diffusion model
(1)
privacy preservation
(1)
deep equilibrium model
(1)
randomized smoothing
(1)
face recognition
(1)
deep neural network
(1)
secure computation
(1)
Papers
MetaCipher: A Time-Persistent and Universal Multi-Agent Framework for Cipher-Based Jailbreak Attacks for LLMs
AAAI 2026
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations
ICLR 2024
NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
NIPS 2024
On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem
AISTATS 2024
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
ICLR 2024
LipSim: A Provably Robust Perceptual Similarity Metric
ICLR 2024
Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models
NIPS 2023
Towards better certified segmentation via diffusion models
UAI 2023
Selective Network Linearization for Efficient Private Inference
ICML 2022
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images
AAAI 2021
Circa: Stochastic ReLUs for Private Deep Learning
NIPS 2021
DeepReDuce: ReLU Reduction for Fast Private Inference
ICML 2021
CryptoNAS: Private Inference on a ReLU Budget
NIPS 2020
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud
NIPS 2017