Search Results for author: Zico Kolter

Found 12 papers, 8 papers with code

Adversarial Robustness Against the Union of Multiple Threat Models

1 code implementation ICML 2020 Pratyush Maini, Eric Wong, Zico Kolter

Owing to the susceptibility of deep learning systems to adversarial attacks, there has been a great deal of work in developing (both empirically and certifiably) robust classifiers.

Adversarial Robustness

Understanding Why Generalized Reweighting Does Not Improve Over ERM

1 code implementation28 Jan 2022 Runtian Zhai, Chen Dan, Zico Kolter, Pradeep Ravikumar

Together, our results show that a broad category of what we term GRW approaches are not able to achieve distributionally robust generalization.

Boosted CVaR Classification

1 code implementation NeurIPS 2021 Runtian Zhai, Chen Dan, Arun Sai Suggala, Zico Kolter, Pradeep Ravikumar

To learn such randomized classifiers, we propose the Boosted CVaR Classification framework which is motivated by a direct relationship between CVaR and a classical boosting algorithm called LPBoost.

Classification Decision Making +1

Defending Multimodal Fusion Models Against Single-Source Adversaries

no code implementations CVPR 2021 Karren Yang, Wan-Yi Lin, Manash Barman, Filipe Condessa, Zico Kolter

Beyond achieving high performance across many vision tasks, multimodal models are expected to be robust to single-source faults due to the availability of redundant information between modalities.

Action Recognition object-detection +2

Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits

2 code implementations12 Feb 2021 Leonid Boytsov, Zico Kolter

We study the utility of the lexical translation model (IBM Model 1) for English text retrieval, in particular, its neural variants that are trained end-to-end.

Document Ranking Information Retrieval +1

You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries

no code implementations29 Jan 2021 Devin Willmott, Anit Kumar Sahu, Fatemeh Sheikholeslami, Filipe Condessa, Zico Kolter

In this work, we instead show that it is possible to craft (universal) adversarial perturbations in the black-box setting by querying a sequence of different images only once.


no code implementations ICLR 2020 Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle, Zico Kolter, Chongli Qin, Andras Gyorgy, Kai Xiao, Sven Gowal, Pushmeet Kohli

Formal verification techniques that compute provable guarantees on properties of machine learning models, like robustness to norm-bounded adversarial perturbations, have yielded impressive results.

Audio Classification Image Classification

Provably robust deep generative models

no code implementations22 Apr 2020 Filipe Condessa, Zico Kolter

In this paper, we propose a method for training provably robust generative models, specifically a provably robust version of the variational auto-encoder (VAE).

Differentiable Convex Optimization Layers

1 code implementation NeurIPS 2019 Akshay Agrawal, Brandon Amos, Shane Barratt, Stephen Boyd, Steven Diamond, Zico Kolter

In this paper, we propose an approach to differentiating through disciplined convex programs, a subclass of convex optimization problems used by domain-specific languages (DSLs) for convex optimization.

Inductive Bias

On Physical Adversarial Patches for Object Detection

1 code implementation20 Jun 2019 Mark Lee, Zico Kolter

In this paper, we demonstrate a physical adversarial patch attack against object detectors, notably the YOLOv3 detector.

object-detection Object Detection

SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver

3 code implementations29 May 2019 Po-Wei Wang, Priya L. Donti, Bryan Wilder, Zico Kolter

We demonstrate that by integrating this solver into end-to-end learning systems, we can learn the logical structure of challenging problems in a minimally supervised fashion.

Game of Suduko

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