38 citations · 41 across the 9 of their papers we have counts for
9 papers
REBAR: Reference Ethical Benchmark for Autonomy Readiness
Jonathan Diller, David Barnes, Rebekah Bogdanoff +14
As autonomous systems grow more advanced, objective metrics to evaluate their ethical and legal compliance are critical for informing end users of their limitations and ensuring ac…
Aligning Machiavellian Agents: Behavior Steering via Test-Time Policy Shaping
Dena Mujtaba, Brian Hu, Anthony Hoogs +1
The deployment of decision-making AI agents presents a critical challenge in maintaining alignment with human values or guidelines while operating in complex, dynamic environments.…
Steerable Pluralism: Pluralistic Alignment via Few-Shot Comparative Regression
Jadie Adams, Brian Hu, Emily Veenhuis +5
Large language models (LLMs) are currently aligned using techniques such as reinforcement learning from human feedback (RLHF). However, these methods use scalar rewards that can on…
ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making
Bharadwaj Ravichandran, David Joy, Paul Elliott +6
Large language models (LLMs) are increasingly being used as decision aids. However, users have diverse values and preferences that can affect their decision-making, which requires…
Personalized Attacks of Social Engineering in Multi-turn Conversations: LLM Agents for Simulation and Detection
Tharindu Kumarage, Cameron Johnson, Jadie Adams +7
The rapid advancement of conversational agents, particularly chatbots powered by Large Language Models (LLMs), poses a significant risk of social engineering (SE) attacks on social…
Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain
Brian Hu, Bill Ray, Alice Leung +4
In difficult decision-making scenarios, it is common to have conflicting opinions among expert human decision-makers as there may not be a single right answer. Such decisions may b…
Defending Against Social Engineering Attacks in the Age of LLMs
Lin Ai, Tharindu Kumarage, Amrita Bhattacharjee +12
The proliferation of Large Language Models (LLMs) poses challenges in detecting and mitigating digital deception, as these models can emulate human conversational patterns and faci…
Unsupervised Image Classification by Ideological Affiliation from User-Content Interaction Patterns
Xinyi Liu, Jinning Li, Dachun Sun +6
The proliferation of political memes in modern information campaigns calls for efficient solutions for image classification by ideological affiliation. While significant advances h…
A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Forged Videos
Chengjiang Long, Arslan Basharat, Anthony Hoogs
Videos can be manipulated by duplicating a sequence of consecutive frames with the goal of concealing or imitating a specific content in the same video. In this paper, we propose a…