Publications (71)
Do Membership Inference Attacks Work on Large Language Models?
Michael Duan, Anshuman Suri, Niloofar Mireshghallah +7
Threaded rings that swim in excitable media
Antonio Cincotti, Fabian Maucher, David Evans +6
Numerical methods for unraveling inter-particle potentials in colloidal suspensions: A comparative study for two-dimensional suspensions
Clare R. Rees-Zimmerman, José MartÃn-Roca, David Evans +3
A counterexample to the reconstruction of $Ï$-categorical structures from their endomorphism monoids
Manuel Bodirsky, David Evans, Michael Kompatscher +1
Understanding Variation in Subpopulation Susceptibility to Poisoning Attacks
Evan Rose, Fnu Suya, David Evans
Are Attribute Inference Attacks Just Imputation?
Bargav Jayaraman, David Evans
Inferring Events from Time Series using Language Models
Mingtian Tan, Mike A. Merrill, Zack Gottesman +3
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?
Fnu Suya, Xiao Zhang, Yuan Tian +1
Complexity-Scalable Direct Geolocation and Cancellation of Terrestrial GNSS Jammers: Single-Satellite and Multi-Antenna Experiments in Low Earth Orbit
Giacomo Pojani, Javier Tegedor, Joaquim Fortuny-Guasch +5
DP-RuL: Differentially-Private Rule Learning for Clinical Decision Support Systems
Josephine Lamp, Lu Feng, David Evans
Evaluating Differentially Private Machine Learning in Practice
Bargav Jayaraman, David Evans
Evolution of Log-Based Detection Rules in Public Repositories
Minjun Long, David Evans
Revisiting Membership Inference Under Realistic Assumptions
Bargav Jayaraman, Lingxiao Wang, Katherine Knipmeyer +2
Pointwise Paraphrase Appraisal is Potentially Problematic
Hannah Chen, Yangfeng Ji, David Evans
AutoTiering: Automatic Data Placement Manager in Multi-Tier All-Flash Datacenter
Zhengyu Yang, Morteza Hoseinzadeh, Allen Andrews +6
Combing for Credentials: Active Pattern Extraction from Smart Reply
Bargav Jayaraman, Esha Ghosh, Melissa Chase +3
Advances and Open Problems in Federated Learning
Peter Kairouz, H. Brendan McMahan, Brendan Avent +56
Stealthy Backdoors as Compression Artifacts
Yulong Tian, Fnu Suya, Fengyuan Xu +1
Beyond Indistinguishability: Measuring Extraction Risk in LLM APIs
Ruixuan Liu, David Evans, Li Xiong
Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries
Fnu Suya, Jianfeng Chi, David Evans +1
Truck drivers and automation: A methodology for identifying and supporting workforce transition in the Australian road freight sector
Alexandra Bratanova, Claire Mason, David Evans +5
ALICE Central Trigger System for LHC Run 3
Jakub Kvapil, Anju Bhasin, Marek Bombara +9
Model-Targeted Poisoning Attacks with Provable Convergence
Fnu Suya, Saeed Mahloujifar, Anshuman Suri +2
EPPA for two-graphs and antipodal metric spaces
David Evans, Jan HubiÄka, MatÄj KoneÄný +1
Toward a Principled Framework for Disclosure Avoidance
Michael B Hawes, Evan M Brassell, Anthony Caruso +16
Unsupervised Concept Vector Extraction for Bias Control in LLMs
Hannah Cyberey, Yangfeng Ji, David Evans
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness
Saeed Mahloujifar, Xiao Zhang, Mohammad Mahmoody +1
Dissecting Distribution Inference
Anshuman Suri, Yifu Lu, Yanjin Chen +1
Steering the CensorShip: Uncovering Representation Vectors for LLM "Thought" Control
Hannah Cyberey, David Evans
SoK: Pitfalls in Evaluating Black-Box Attacks
Fnu Suya, Anshuman Suri, Tingwei Zhang +3
Terrestrial Very-Long-Baseline Atom Interferometry: Workshop Summary
Sven Abend, Baptiste Allard, Iván Alonso +250
Contextual Constraint Modeling in Grid Application Workflows
G. E. Graham, M. Anzar Afaq, David Evans +3
Cost-Sensitive Robustness against Adversarial Examples
Xiao Zhang, David Evans
The OPS-SAT benchmark for detecting anomalies in satellite telemetry
Bogdan Ruszczak, Krzysztof Kotowski, David Evans +1
SoK: Memorization in General-Purpose Large Language Models
Valentin Hartmann, Anshuman Suri, Vincent Bindschaedler +3
Certifying Joint Adversarial Robustness for Model Ensembles
Mainuddin Ahmad Jonas, David Evans
Smoothing and Mapping using Multiple Robots
Karthik Paga, Joe Phaneuf, Adam Driscoll +1
Do Parameters Reveal More than Loss for Membership Inference?
Anshuman Suri, Xiao Zhang, David Evans
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
Weilin Xu, David Evans, Yanjun Qi
Do Prevalent Bias Metrics Capture Allocational Harms from LLMs?
Hannah Cyberey, Yangfeng Ji, David Evans
Re-entrant percolation in active Brownian hard disks
David Evans, José MartÃn-Roca, Nathan J. Harmer +2
Formalizing and Estimating Distribution Inference Risks
Anshuman Suri, David Evans
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning
Hyrum S. Anderson, Anant Kharkar, Bobby Filar +2
Decentralized Certificate Authorities
Bargav Jayaraman, Hannah Li, David Evans
NoisyCoconut: Counterfactual Consensus via Latent Space Reasoning
Michael Jerge, David Evans
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
Sicheng Zhu, Xiao Zhang, David Evans
Formalizing Distribution Inference Risks
Anshuman Suri, David Evans
Memorization in NLP Fine-tuning Methods
Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang +2
Evaluating Google's Protected Audience Protocol
Minjun Long, David Evans
Context-aware Monitoring in Robotic Surgery
Mohammad Samin Yasar, David Evans, Homa Alemzadeh
Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment
Rachel Cummings, Damien Desfontaines, David Evans +21
White-Box Sensitivity Auditing with Steering Vectors
Hannah Cyberey, Yangfeng Ji, David Evans
Manipulating Transfer Learning for Property Inference
Yulong Tian, Fnu Suya, Anshuman Suri +2
Topological digestion drives time-varying rheology of entangled DNA fluids
Davide Michieletto, Philip Neill, Simon Weir +4
Improved Estimation of Concentration Under $\ell_p$-Norm Distance Metrics Using Half Spaces
Jack Prescott, Xiao Zhang, David Evans
One Neuron to Fool Them All
Anshuman Suri, David Evans
Cold Atoms in Space: Community Workshop Summary and Proposed Road-Map
Ivan Alonso, Cristiano Alpigiani, Brett Altschul +246
Addressing Both Statistical and Causal Gender Fairness in NLP Models
Hannah Chen, Yangfeng Ji, David Evans
Efficient Privacy-Preserving Stochastic Nonconvex Optimization
Lingxiao Wang, Bargav Jayaraman, David Evans +1
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models
Hannah Chen, Yangfeng Ji, David Evans
Query-limited Black-box Attacks to Classifiers
Fnu Suya, Yuan Tian, David Evans +1
Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory
Hannah Chen, Yangfeng Ji, David Evans
Horcrux: A Password Manager for Paranoids
Hannah Li, David Evans
Understanding Intrinsic Robustness Using Label Uncertainty
Xiao Zhang, David Evans
When RLHF Fails: A Mechanistic Taxonomy of Reward Hacking, Collapse, and Evaluator Gaming
Zelalem Abahana, David Evans, Satish Mahadevan Srinivasan +1
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models
Xiao Zhang, Jinghui Chen, Quanquan Gu +1
Efficient Dynamic Searchable Encryption with Forward Privacy
Mohammad Etemad, Alptekin Küpçü, Charalampos Papamanthou +1
Feature Squeezing Mitigates and Detects Carlini/Wagner Adversarial Examples
Weilin Xu, David Evans, Yanjun Qi
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models
Hojjat Aghakhani, Wei Dai, Andre Manoel +7
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
Ahmed Salem, Giovanni Cherubin, David Evans +5
GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces
Josephine Lamp, Mark Derdzinski, Christopher Hannemann +4