Anshuman Suri's repositories
Hardening-Deep-Neural-Networks-via-Adversarial-Model-Cascades
Official code repository for our publication 'Hardening Deep Neural Networks via Adversarial Model Cascades'
FormEstDistRisks
Code for our work 'Formalizing and Estimating Distribution Inference Risks'
awesome-distribution-inference
An awesome list of papers on distribution/property inference in machine learning
dissecting_dist_inf
Code for `Dissecting Distribution Inference'
IR_assignments
Course assignments for CSE508 (IR) at IIITD
blackboxsok
Code for 'SoK: Pitfalls in Evaluating Black-Box Attacks' , SaTML 2024.
awesome-ml-privacy-attacks
An awesome list of papers on privacy attacks against machine learning
propertyinference
Code for our work on Distribution Inference
causal-reading-group-23
Website for reading group on Causal Learning, UVA (Summer 2023)
distribution-inference-risks
Distribution Inference Risks: Identifying and Mitigating Sources of Leakage
Face-Auditor
Official implementation of "FACE-AUDITOR: Data Auditing in Facial Recognition Systems" (USENIX Security 2023)
Fine-Tuning-Whisper-on-LibriSpeech
The code for fine-tuning OpenAI's Whisper model on the LibriSpeech dataset.
llm-attacks
Universal and Transferable Attacks on Aligned Language Models
llmrisks.github.io
Website for UVA Seminar on Risks (and Benefits) of Generative AI and Large Language Models
localizing-memorization
Official Repository for ICML 2023 paper "Can Neural Network Memorization Be Localized?"
MIA_defense_HAMP
Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" in NDSS'24.
mimir.github.io
Project page for MIMIR
ml_privacy_meter
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
permutation_invariant_network
PyTorch implementation for Permutation Invariant Network
torch-influence
A simple PyTorch implementation of influence functions.
uvasrg.github.io
Website for UVA SRG