Security & Privacy
1,222 papers (5 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
2
1
2
1
6
9
6
10
8
12
35
41
55
102
169
174
237
282
69
'10
'15
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'25
Papers (including subtopics)
Risk Management in Image Generative Models through Model Fingerprinting
AAAI 2024
ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
NeurIPS 2024
Robust Communicative Multi-Agent Reinforcement Learning with Active Defense
AAAI 2024
SAME: Sample Reconstruction against Model Extraction Attacks
AAAI 2024
Scalable DP-SGD: Shuffling vs. Poisson Subsampling
NeurIPS 2024
Scalable Federated Unlearning via Isolated and Coded Sharding
IJCAI 2024
Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption
AAAI 2024
Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacks
EMNLP 2024
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
EMNLP 2024
Self-Recognition in Language Models
EMNLP 2024
Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes
COLT 2024
Some Constructions of Private, Efficient, and Optimal K-Norm and Elliptic Gaussian Noise
COLT 2024
Spoof Diarization: "What Spoofed When" in Partially Spoofed Audio
Interspeech 2024
SynthProv: Interpretable Framework for Profiling Identity Leakage
WACV 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
EMNLP 2024
Text Embedding Inversion Security for Multilingual Language Models
ACL 2024
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
ACL 2024
The Limits of Differential Privacy in Online Learning
NeurIPS 2024
The Relative Gaussian Mechanism and its Application to Private Gradient Descent
AISTATS 2024
Towards More Realistic Membership Inference Attacks on Large Diffusion Models
WACV 2024
Towards the Robustness of Differentially Private Federated Learning
AAAI 2024
TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution
AAAI 2024
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy
ICLR 2024
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries
ACL 2024
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks
NeurIPS 2024