Ashwinee Panda
12 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (26) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
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Grand Slam
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Research topics
Machine Learning
(10)
Application Areas
(8)
Artificial Intelligence
(7)
Core AI
(6)
Optimization & Theory
(5)
Deep Learning
(4)
Natural Language Processing
(2)
Security & Privacy
(2)
Applications
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Computer Science
(1)
Computer Vision
(1)
Analysis
(1)
Keywords
differential privacy
(3)
federated learning
(3)
large language model
(3)
stochastic gradient descent
(2)
model poisoning
(2)
in-context learning
(2)
text generation
(1)
model robustness
(1)
benchmark evaluation
(1)
hyperparameter optimization
(1)
text classification
(1)
adversarial machine learning
(1)
prior learning
(1)
domain adaptation
(1)
distributed learning
(1)
information retrieval
(1)
safety alignment
(1)
model alignment
(1)
contextual retrieval
(1)
adversarial robustness
(1)
Papers
Emergent Misalignment via In-Context Learning: Narrow in-context examples can produce broadly misaligned LLMs
ACL 2026
Beyond the Haystack: Sensitivity to Context in Legal Reference Recall
EMNLP 2025
Privacy Auditing of Large Language Models
ICLR 2025
Safety Alignment Should be Made More Than Just a Few Tokens Deep
ICLR 2025
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
ICML 2024
Privacy-Preserving In-Context Learning for Large Language Models
ICLR 2024
Teach LLMs to Phish: Stealing Private Information from Language Models
ICLR 2024
Visual Adversarial Examples Jailbreak Aligned Large Language Models
AAAI 2024
Differentially Private Image Classification by Learning Priors from Random Processes
NeurIPS 2023
Neurotoxin: Durable Backdoors in Federated Learning
ICML 2022
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification
AISTATS 2022
FetchSGD: Communication-Efficient Federated Learning with Sketching
ICML 2020